For each patient, demographic information was collected including . . .
For each procedure, the needle gauge, number of samples,. . . were collected. The outcome of each procedure was collected and included incidence of hematoma formation, biopsy pathology results,. . .
Item . | Examples . |
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Type of study and IRB management | This IRB-exempt HIPAA compliant retrospective study . . . . A waiver of consent was granted. |
This prospective study was approved by our IRB and was compliant with the Health Insurance Portability and Accountability Act. Written informed consent was obtained from all study participants. | |
This survey study was IRB-exempt. | |
Define the study population | All consecutive female patients aged 18-80 years old undergoing US-guided core-needle biopsy between January 2015 and December 2019 were included. Patients were excluded if they had a personal history of breast cancer, known bleeding disorder, or if follow-up of at least one year was not available. For each patient, demographic information was collected including . . . For each procedure, the needle gauge, number of samples,. . . were collected. The outcome of each procedure was collected and included incidence of hematoma formation, biopsy pathology results,. . . |
All female patients aged 18-80 years old presenting for US-guided core-needle biopsy between January 2015 and August 2015 who met study criteria were invited to participate. Women were excluded if they were unable to provide informed consent, had a personal history of breast cancer, or a known bleeding disorder. Study patients were excluded from analysis if follow-up imaging of at least one year was not available. | |
Study details | All US-guided biopsies were performed using one of two US machines (. . ., GE Healthcare, Chicago, IL or . . ., Siemens, Erlangen, Germany) using a 12-18 MHz transducer and a core-needle spring-loaded device (. . ., BARD,. . .). The number of samples obtained was at the discretion of the radiologist performing the procedure but generally ranged from 3 to 5 samples in our practice. The radiologists performing the procedures had 3 to 8 years of experience in breast imaging and US-guided breast biopsy. Post-biopsy mammograms were used to assess the size of post-biopsy hematoma formation. If present, the hematoma was measured in three dimensions . . . |
All US-guided biopsies were performed using one of two US machines (. . ., GE Healthcare, Chicago, IL or . . ., Siemens, Erlangen, Germany) using a 12-18 MHz transducer and a core-needle spring-loaded device (. . ., BARD,. . .). Five samples were obtained per study protocol. The radiologists performing the procedures had three to eight years of experience in breast imaging and US-guided breast biopsy. Post-biopsy mammograms were obtained to assess the size of post-biopsy hematoma formation. If present, the hematoma was measured in three dimensions . . . . Visual assessment of bruising was performed by a nurse with eight years of experience in breast biopsy care and rated on a scale of 1 to 10 with 1 being none visible and 10 being gross bruising. For those patients with a hematoma identified, they were asked to return for a two-view (craniocaudal and mediolateral) mammogram in seven to 10 days as part of the study. Visual assessment of bruising was again performed by the same nurse. Biopsy pathology results were obtained . . . | |
Five readers with three to ten years of experience reading breast MRI each reviewed cases independently using a clinical workstation. Readers were blinded to all clinical outcomes and no prior images were available for review. Readers were asked to report . . . using a 1 to 5 Likert scale with 1 representing most visible and 5 representing least visible. | |
A draft survey was developed and administered to a focus group of 5 radiologists who provided feedback. The final survey consisted of 12 questions ( ). The initial three questions were related to demographics and practice type. The remaining nine questions were related to the radiologists’ practices regarding antithrombic therapies and US-guided breast biopsy using a Likert scale. The survey was administered to all practicing members of the Society of Breast Imaging; members-in-training, retired members, and those practicing outside of the U.S. were excluded. The survey was administered using Survey Monkey (city, state) and opened on November 5, 2021. The introductory invitation e-mail was sent on November 6, 2021 with two reminder emails sent at weekly intervals. The survey was closed on December 5, 2021. | |
Statistical analysis | Aggregate descriptive statistics were reported overall and for each subgroup. Comparisons between groups were made using a Pearson chi-square test. A -value of 0.05 was considered statistically significant and no corrections were made for multiple hypothesis testing. Statistical analysis was performed in Excel (Microsoft Corporation, Redmond, WA). |
Abbreviations: HIPAA, Health Insurance Portability and Accountability Act; IRB, Institutional Review Board.
Example diagram that demonstrates how the study population was defined.
The subsequent paragraphs depend on the study design. Essentially, explain what was done with the study population and how it was done.
For retrospective studies, it is important to define the standards of practice for the study population under investigation. The imaging equipment, including vendor information (manufacturer, city of headquarters, state), should be specified. For routine procedures or clinical tasks (eg, stereotactic breast biopsy), explicit details do not need to be described unless they are germane to the study or varied between study locations. Provide the experience of the radiologists performing the interpretations or procedures during the study period.
For reader studies, it is important to describe how the images/cases were selected and the conditions under which the radiologists reviewed the images (eg, research workstation). Accompanying figures and/or tables may be helpful to describe the research conditions. Specify any training, education, or guidance provided to the readers. Describe all metrics reported by the readers.
A manuscript reporting the results of a survey will have a section on how the survey was developed, tested, and administered. The full text of the survey should be made available in the manuscript or as an appendix.
The last paragraph of the methods is reserved for the analysis plan, including the statistics. A description of how data were coded and analyzed, which statistical tests were used, and which statistical software was used should be described. For complicated statistical analyses, the statistician should write this section to ensure accuracy. Journals increasingly include a statistical reviewer, so it is important to be clear about the analysis plan. It is also typical to define the threshold for statistical significance (eg, P- value ≤ 0.05) along with any efforts to control for multiple hypothesis testing.
The results should also be laid out in a straightforward manner with regular use of subheadings ( Table 2 ). The length of the results section does not reflect the amount of work involved in a research project, so avoid filler content. A simple five-minute survey might have a dozen questions to report, while a complicated deep learning algorithm might yield a single model performance metric. Provide all pertinent positive, negative, and non-significant findings in the text or tables to provide a comprehensive picture of the study.
Structure of the Results Section of a Scientific Manuscript With Typical Examples
Item . | Examples . |
---|---|
Define the study population | During the study period, 532 women underwent US-guided breast core-needle biopsy. Of these, 35 were excluded due to personal history of breast cancer and 6 were excluded due to known bleeding disorder. Of the remaining 491 patients, 63 were excluded as follow-up of at least one year was not available. The remaining 428 patients make up the study group. The mean patient age was 54.3 years (range 24-82 years). The patients were predominantly White (389/428, 90.9%) and post-menopausal (365/428, 85.3%) ( ). |
During the study period, 124 women underwent US-guided core-needle biopsy. Of these, 62 agreed to participate in the study and gave informed study consent. The mean patient age was 54.3 years (range 24-82 years). The patients were predominantly White (47/62, 75.8%) and post-menopausal (52/62, 83.9%) ( ). | |
Information regarding the readers may be provided here but is typically included in the methods. | |
During the survey period, 345 Society of Breast Imaging members completed the survey for a response rate of 22.5% (345/1534). Of these, 47 were excluded because of being a member-in training, retired, or practicing outside of the U.S. The remaining 298 respondents make up the study group. The mean respondent age was 54.3 years (range 34-72 years). Respondents were most commonly in practice for 10 to 14 years (156/298, 52.3%) and were in academic practice (170/298, 57.0%) ( ). Geographic distribution of respondents was relatively balanced with the most common location being the Northeast (89/298, 29.9%). | |
Study results | The majority of women had no hematoma demonstrated on the post-biopsy mammogram (44/62, 71.0%) (Table 3). The vast majority of those with a hematoma on the post-biopsy mammogram had a small hematoma measuring less than 1 cm (10/18, 55.6%). The mean hematoma size was 1.4 cm (range . . . ). The mean visual assessment of bruising after the procedure was . . . with the mode being 1 (range). |
The majority of women had no hematoma demonstrated on the post-biopsy mammogram (44/62, 71.0%) (Table 3). The vast majority of those with a hematoma demonstrated on the post-biopsy mammogram, and most were small, measuring less than 1 cm (10/18, 55.6%). The mean hematoma size was 1.4 cm (range . . .). The mean visual assessment of bruising after the procedure was . . . with the mode being 1 (range). All 18 patients with post-biopsy hematoma returned between seven and 10 days for reassessment, with the mean follow-up of 8.3 days. Only 3 of the 18 patients (16.7%) had a residual hematoma on repeat mammogram. The mean size was . . ., which was significantly decreased compared to the post-biopsy mammogram ( = 0.035). Visual assessment . . . Biopsy pathology results showed 15 malignant results (15/62, 24.2%) (Table 4), with the most common result being invasive ductal carcinoma (9/15, 60.0%). Malignant pathology outcome was statistically significantly associated with the presence of post-biopsy hematoma (12/18, 66.7%) ( = 0.004) as well as the size of hematoma (mean . . ., range . . .) ( = 0.034). Visual assessment . . . . At follow-up,. . . | |
The mean area under the receiver operating characteristic curve of reader performance to predict malignancy was 0.74 (range 0.43-0.92, = 0.023) when reporting a percentage likelihood of malignancy. The mean reader confidence was 57% (range 34%-75%). The interobserver variability of the readers was fair (kappa = 0.31) for the use of BI-RADS final assessment categories. | |
Most respondents indicated that they never cancel procedures for patients who are taking antithrombotic medications (200/345, 60.0%). This rate was significantly higher for respondents in academic practices (75/100, 75%) than for those in private practice (100/200, 50.0%) or who did not provide information on practice type (25/45, 55.6%) ( = 0.035). |
Item . | Examples . |
---|---|
Define the study population | During the study period, 532 women underwent US-guided breast core-needle biopsy. Of these, 35 were excluded due to personal history of breast cancer and 6 were excluded due to known bleeding disorder. Of the remaining 491 patients, 63 were excluded as follow-up of at least one year was not available. The remaining 428 patients make up the study group. The mean patient age was 54.3 years (range 24-82 years). The patients were predominantly White (389/428, 90.9%) and post-menopausal (365/428, 85.3%) ( ). |
During the study period, 124 women underwent US-guided core-needle biopsy. Of these, 62 agreed to participate in the study and gave informed study consent. The mean patient age was 54.3 years (range 24-82 years). The patients were predominantly White (47/62, 75.8%) and post-menopausal (52/62, 83.9%) ( ). | |
Information regarding the readers may be provided here but is typically included in the methods. | |
During the survey period, 345 Society of Breast Imaging members completed the survey for a response rate of 22.5% (345/1534). Of these, 47 were excluded because of being a member-in training, retired, or practicing outside of the U.S. The remaining 298 respondents make up the study group. The mean respondent age was 54.3 years (range 34-72 years). Respondents were most commonly in practice for 10 to 14 years (156/298, 52.3%) and were in academic practice (170/298, 57.0%) ( ). Geographic distribution of respondents was relatively balanced with the most common location being the Northeast (89/298, 29.9%). | |
Study results | The majority of women had no hematoma demonstrated on the post-biopsy mammogram (44/62, 71.0%) (Table 3). The vast majority of those with a hematoma on the post-biopsy mammogram had a small hematoma measuring less than 1 cm (10/18, 55.6%). The mean hematoma size was 1.4 cm (range . . . ). The mean visual assessment of bruising after the procedure was . . . with the mode being 1 (range). |
The majority of women had no hematoma demonstrated on the post-biopsy mammogram (44/62, 71.0%) (Table 3). The vast majority of those with a hematoma demonstrated on the post-biopsy mammogram, and most were small, measuring less than 1 cm (10/18, 55.6%). The mean hematoma size was 1.4 cm (range . . .). The mean visual assessment of bruising after the procedure was . . . with the mode being 1 (range). All 18 patients with post-biopsy hematoma returned between seven and 10 days for reassessment, with the mean follow-up of 8.3 days. Only 3 of the 18 patients (16.7%) had a residual hematoma on repeat mammogram. The mean size was . . ., which was significantly decreased compared to the post-biopsy mammogram ( = 0.035). Visual assessment . . . Biopsy pathology results showed 15 malignant results (15/62, 24.2%) (Table 4), with the most common result being invasive ductal carcinoma (9/15, 60.0%). Malignant pathology outcome was statistically significantly associated with the presence of post-biopsy hematoma (12/18, 66.7%) ( = 0.004) as well as the size of hematoma (mean . . ., range . . .) ( = 0.034). Visual assessment . . . . At follow-up,. . . | |
The mean area under the receiver operating characteristic curve of reader performance to predict malignancy was 0.74 (range 0.43-0.92, = 0.023) when reporting a percentage likelihood of malignancy. The mean reader confidence was 57% (range 34%-75%). The interobserver variability of the readers was fair (kappa = 0.31) for the use of BI-RADS final assessment categories. | |
Most respondents indicated that they never cancel procedures for patients who are taking antithrombotic medications (200/345, 60.0%). This rate was significantly higher for respondents in academic practices (75/100, 75%) than for those in private practice (100/200, 50.0%) or who did not provide information on practice type (25/45, 55.6%) ( = 0.035). |
Typically, the first paragraph of the results will present a summary of the study population along with a table that provides detailed demographic information. Provide a narrative summary of the important findings and avoid repeating information accessible to the reader from the tables. For example, “The majority of women were White (28/50, 56%) and post-menopausal (31/50, 62%) with at least two prior mammograms for comparison (35/50, 70%) as shown in Table 1 .”
The subsequent paragraphs follow the flow of the methods section, presenting the findings along with any relevant statistical metrics (ie, P -values). Exact P -values provide more context compared with a less than number (eg, P = 0.023 is preferred over P < 0.05). Of note, the term “significant” implies statistical significance in scientific writing, and relevant statistical information ( P -value, odds ratio, etc) should be provided.
Figures and tables are very helpful, especially for complicated analyses with large numbers of variables. Secondary data that were collected but not important to the primary findings can be placed in supplemental tables. Narrative summary information is again helpful to capture the major points, with references to the tables and/or figures for specific details. It is typical to report both percentages and numbers as appropriate (eg, 30% [3/10]) so that readers understand the context of any metrics. Be consistent in the number of significant digits and choose a threshold that has real-world meaning (eg, the mean lymph node size is 3.4 cm and not 3.428 cm). Present results in a neutral tone without any references to prior literature or descriptions of the implications of the findings.
Now that you have developed the important points of your study findings, focus on the introduction and discussion. The introduction is the space to provide background information to justify why your research was done. Different fields have widely divergent conventions about the organization and length of the introduction, but clinical radiology journals err on the side of shorter and more concise introductions (~300-500 words). New authors often confuse content between the introduction and the discussion. A simple convention is to think of the introduction as the clinical/research world before your study was performed. Your study was needed to fill in the gaps in knowledge that previously existed. There is no need to provide information that the journal audience will already be familiar with. For Journal of Breast Imaging readers, for example, it is not necessary to provide basic breast cancer statistics. The discussion then places your findings in the context of the new clinical/research world and describes future directions.
There are many ways to structure the introduction, but a simple template is two short background paragraphs concluded by a very brief paragraph describing the purpose of the study. Imagine a funnel that starts very broadly to discuss the research environment and tapers to this specific study. Most studies can be broken down into the intersection of two topics of interest, which provides a simple narrative for the reader. Imagine you were writing a manuscript on alcohol ablation for postoperative seromas. The first paragraph would focus on postoperative seromas—incidence, biology, treatment options, etc. The second paragraph would focus on alcohol ablation—mechanism of action, successful non-breast clinical scenarios, paucity of data on breast seroma alcohol ablations, etc. The final paragraph would then explain in two to three sentences why your study was done based on the intersection of the preceding two paragraphs. An explicit statement defining your hypothesis or purpose is recommended and required by most journals. The stated purpose of the study at the conclusion of the introduction mirrors the objective statement of the abstract.
The discussion is where you summarize the important findings of your study, explain the significance of the findings, and describe how they compare and contrast to the published literature to date. While your findings may be groundbreaking, superlatives like “first” or “best” should be avoided. It is also important to never report new findings in the discussion that were not in the results. However, discussing next steps or future directions for research or clinical applications is encouraged to place your findings in the context of the larger body of current and future studies.
Typically, the first paragraph of the discussion summarizes the major finding(s) of the study. The subsequent one to two paragraphs will then highlight additional pertinent positive or negative findings. The following one to two paragraphs describe why the results are important and place them in the context of other studies. A simple convention is to summarize your research finding in one to two sentences and then describe how the finding relates to prior published work. Qualifiers are helpful (eg, “It was surprising . . .” or “Our results confirm previous work . . .”) to place your findings in context with prior work and your initial hypothesis. Providing specific data from prior studies is more helpful than generalization (eg, “Collin et al (reference number) identified post-biopsy hematomas in only 2% (2/100) of patients undergoing US-guided core-needle biopsy in contrast to our study identifying 7% (7/100) of patients. However, our study used post-biopsy mammograms, while the prior study . . .”). Gaps in knowledge or proposed next steps are included when appropriate.
A limitations paragraph is usually the second to last paragraph of the discussion. All studies have limitations, and it is important to describe the major ones, posit their impact on the results, and list any amelioration steps. For example, “Our study population had a lower proportion of Hispanic women than the general population, despite our outreach efforts. This limited our ability to perform subgroup analysis.” While it is important to describe the major limitations to contextualize the findings, it is not necessary to list every conceivable limitation. Reviewers will invariably request that additional limitations be included, and if the list of limitations is too long, it may inappropriately undermine the manuscript.
The last paragraph of the discussion is the conclusion and includes a high-level narrative summary of the findings. Caution is suggested when making conclusions about the findings of the study to ensure that they are not overstated. The results must support the conclusion. This may be the only part of the discussion that a casual reader actually reads, so summarize the major take-home messages. It is often appropriate to include one or two sentences about next steps (eg, “These results justify further work in a multi-institution prospective setting”). This is your parting message to the reader, and there is some flexibility to include an aspirational tone to your final message.
Although the abstract is the shortest piece of a manuscript, it is often the only piece most readers will see. Abstracts are visible on search engines like PubMed or Google Scholar even if a reader does not access the full text ( 15 , 16 ). There are usually minor formatting differences between journals, but it is most important to note the total word count, usually 250 words as search engines typically truncate the abstract at this number. Summarizing a manuscript of 2000 to 3000 words into 250 words is a logistical challenge that may involve creative use of hyphenations, parallel structure, abbreviations, and brief language. It is impossible to describe all the details of the methods and results as well as the nuances of the introduction and discussion. Instead, summarize the major findings and emphasize the key take-home messages. The abstract is the opportunity to sell a prospective reader on why they should read the entire manuscript.
In the Journal of Breast Imaging , the abstract headings are objective, methods, results, and conclusion. The objective is typically no more than one or two sentences and mirrors the purpose statement that is the last sentence of the introduction. The methods typically opens with the type of study and IRB information (eg, “This retrospective study was IRB-exempt”). The next sentence or two describe the study design and may include how the study population was identified, followed by what was done. The methods section closes with a sentence on statistical analysis. The results section typically opens with the defined study population and then a summary of the important results. The methods and results sections should have the most words of your abstract. The conclusion is typically one or two sentences summarizing the important results and future directions. As in the discussion, care must be made to not overstate your conclusions.
A scientific manuscript should have ample supporting references to justify the research and contextualize the findings. Identifying appropriate references can be overwhelming, but a short primer on PubMed or Google Scholar with a librarian can teach you successful search strategies ( 15 , 16 ). For narrow projects, it may be appropriate to cite the entire body of published work. For projects with larger areas of interest (eg, breast cancer screening), there may be thousands of references. A practical strategy is to review a recent review article or similar scientific manuscript to find potential references. Looking at articles that subsequently cite an article may lead to important current articles expanding on the original findings. Search engines can also be sorted by citation counts, which facilitates identification of the most cited articles. In general, it is better to cite more recent articles and those from well-known journals to ensure that the references are current and well vetted. It is also best to reference a primary scientific manuscript rather than a review article.
Reference managers such as EndNote (Clarivate, Philadelphia, PA), RefWorks (ProQuest, Ann Arbor, MI), or Mendeley Desktop (Elsevier, Amsterdam, Netherlands) can synchronize the order of references within the manuscript and are a valuable time-saving tool. They allow text to be moved within the manuscript while ensuring appropriate linkage and ordering of references. Reference managers also facilitate easy switching of formats between journal requirements. Formatting references in the style of the journal can be performed by reviewing the journal’s “Instructions to Authors” and often downloading the appropriate format into the reference manager. The Journal of Breast Imaging follows the 11 th edition of the American Medical Association (AMA) Manual of Style ( 17 ). Finally, although journals have maximum but not minimum citation limits, including less than 15 to 20 references raises concerns that adequate background research was not performed.
Collecting compelling clinical images to support the manuscript narrative is critically important for a radiology manuscript. Review the author guidelines for requirements on the number of figures, image resolution, and file formats (eg, JPEG, GIF, TIFF). Use annotations, such as arrows or circles, liberally to highlight major findings. The small figure sizes require careful cropping, windowing, and leveling of clinical images. Journals will specify the minimum number of dots per inch (dpi). It is not uncommon to save low resolution images initially and realize later that the images are an insufficient dpi and must be redone. Saving a raw high-resolution master copy in reserve is helpful. An easy trick to acquiring high-resolution clinical images is to zoom in at the clinical workstation and then use a screen grab tool to capture an overly large but correctly framed image. That large image can then be shrunk down to the appropriate dimensions while keeping the dpi very high. Also, check to make sure your software program is not downgrading the image sizes by default. Some journals, including the Journal of Breast Imaging , prefer consolidation of all image parts for each figure with submission of one image file. All of these tasks are easily performed in commonly available software programs such as PowerPoint, Paint, or Paint 3D (Microsoft Corporation, Redmond, WA). The edited images can then be saved in the appropriate format per the author guidelines ( 5–9 ).
Similarly, each journal has a particular style for figure legends. Many journals, including the Journal of Breast Imaging , prefer a narrative approach rather than listing each image with its description (eg, “On transverse ( A ) and sagittal ( B ) US images, an oval circumscribed mass (arrows) . . . . No internal vascularity was seen on color Doppler imaging ( C )”). Abbreviations are included at the end of the figure legend. Reviewing the author guidelines and recent journal articles is helpful.
Tables should present the study data in a succinct fashion. They provide a more comprehensive display of the data beyond the highlights presented in the text. In a research article, the first table typically provides the demographic information of the study population. For studies comparing two groups, demographic information might be listed overall and for each group to allow for easy comparison. Subsequent tables provide relevant data from the results along with statistical information. It may take some trial and error to optimize the layout of a large table, but it is worth the effort as readers often focus on the results from the table. Tables usually have short, succinct titles, unlike the more narrative figure legends. Additional comments or qualifiers are added as a footnote to the table, often with a symbol (eg, *, ǂ) denoting what section of the table they are referencing. Readers should be able to interpret the table without reading the text, and thus, any abbreviations should be included at the bottom of the table.
The title should inform the reader of the basic research question. A good title is not too long or too short and captures the reader’s attention. A pithy approach may be acceptable, but it is best to review prior journal publication titles to ensure this approach is suitable. For example, the title may be a question (eg, “Is synthetic mammography adequate to detect amorphous calcifications?”) or may be the conclusion of the study (eg, “Synthetic mammography adequately detects amorphous calcifications”).
Journals usually require three to five keywords that facilitate indexing and search engine identification. A thoughtful approach that errs on the side of being more general is likely to increase visibility.
Many journals also ask for some additional journal specific items. In the Journal of Breast Imaging , the key messages provide two to four summary statements of the research. In essence, provide several points that you would like the reader to take away after reading the article. Condensing your major points into very short key messages can be challenging, but the content is highly viewed and thus valuable.
Journals manage abbreviations in different ways. Generally, abbreviations are expanded at first use in the abstract, body of the manuscript, each figure legend, and each table title. An abbreviation is expanded if used at the beginning of a sentence. Some abbreviations do not need to be expanded at first use per the AMA style guide ( 17 ). Common abbreviations in imaging that do not need to be expanded include DNA, RNA, UV (ultraviolet), CI (confidence interval), SD (standard deviation), SE (standard error), and SEM (standard error of the mean). In the Journal of Breast Imaging , some additional abbreviation never need expansion, including MRI, US, PET, PET-CT, and CT. In the abstract, IRB and BI-RADS can be used without expansion but are expanded at first use in the main text. In figure legends or tables, BI-RADS can be used without expansion. Note that in the Journal of Breast Imaging , US is used for ultrasound while U.S. is used for the United States. Nonstandard abbreviations are generally avoided in the title or headings, but standard abbreviations such as MRI or BI-RADS are fine. The use of many nonconventional abbreviations can confuse and slow down the reader.
Review the author guidelines for the journal that you have chosen one more time. Most imaging journals require a blinded manuscript, separate title pages, and individual files for images at first submission. The title page will often require detailed author information and disclosures. Where author initials are included, use “X.X.X.” and a similar format for institutions in the manuscript. Many journals, including the Journal of Breast Imaging , do not require journal specific formatting at the initial submission, but it is required for subsequent resubmission if the article moves forward.
Acceptance of a scientific manuscript at initial submission is extremely rare. Most articles that are subsequently published will move from major revision to minor revision to acceptance. Note that a decision of “reject– resubmission allowed” often means that major reanalysis or rewriting of the manuscript is needed. These papers will often undergo a new set of reviews at resubmission. Many of these manuscripts will move on to publication if concerns are adequately addressed. Articles that are rejected without further consideration can often be revised based on reviewer comments and submitted to a different journal.
While reviewer comments may feel hurtful, they are meant to improve the paper and are not personal. Articles often move from just okay to excellent during the review process.
Journal editors and staff are typically happy to help you with problems or questions.
Every scientific manuscript creates a unique set of challenges for the writer, but the practical steps described here should provide a solid conceptual framework. Getting started is often the hardest part of writing, and the goal is to create a draft, no matter how rough. By breaking the manuscript down into discrete sections, you can more easily make progress. Last, a writing mentor is an invaluable resource. Beginning and experienced writers alike can always benefit from some outside perspective. Good luck and happy writing!
None declared.
J.A.H. is Editor-in-Chief of the Journal of Breast Imaging . As such, she was excluded from the review process. L.J.G. declares no conflict of interest.
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Your research paper is submitted to our English language expert in the preliminary stage to remove all jargon and correct the grammatical mistakes. This allows the other editors in the process to focus on the ideas of your research, and not its language.
It is the mainstay of our scientific manuscript editing process and encompasses the following:
Finally, we submit your paper to another editor of our team who examines each and every detail and provides an additional feedback to improve your scientific research paper for its best quality.
Rely on our scientific editing services to deliver accurate, error free scientific paper to get published in International journals. As a scientific manuscript editing services company we have extensive experience in scientific and medical journal publication .
Publishing a scientific manuscript in a high impact is a cumbersome task. Your research paper may get rejected even before it reaches the peer review process.
Use of poor language, too many grammatical and punctuation mistakes, improper sentence construction, inaccuracy of the presented facts, figures, and tables, improper formatting of the research paper, and failure to write according to the journal guidelines are the reasons for its rejection.
That’s why it’s critical to proofread and edit your research paper before submitting it for publication in a journal. Thorough and competent editing of your scientific research paper can save you from the distress of rejection.
Scientific editing is much beyond eliminating the grammar, vocabulary, and punctuation errors in your research paper. It is to revise your paper and make each piece of information contained in it clear and precise.
However proficient and focused you might be while writing your research paper, you tend to make mistakes in the spellings, language, and flow of information.
Thus, you need to check all these facts and revise them during scientific paper editing. After all, your paper is for the readers; to inform and instruct them about the new advances in the medical field. And it will be useless to publish a paper that doesn’t serve this purpose, that doesn’t engage your readers in reading your research paper. So, editing of a scientific manuscript is crucial before it is submitted for publication.
But, scientific editing is not easy! And your submission deadline is near.
However, getting an immediate solution is now easy with CogniBrain! Take help of our professional scientific paper editing services. We offer top-notch scientific manuscript editing services to make your research communication appeal the journal editors.
There’s something that sets our scientific editing services stand out. Our unique features comprise of:
Our scientific editing services comprise of copy editing, substantive editing, editing of research paper, medical manuscript editing, formatting of references, validating the facts or GAP analysis, document glossary, scientific and English proof-reading, camera-ready and power-point formatting.
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We assist your scientific manuscript writingin the following crucial ways:Writing in a manner that makes the substance and research of your written scientific manuscript clear and precise.Showcasing the quality of your research with a comprehensively written article.Proofreading and correcting all typos and grammatical errors.Format your document to ensure its alignment with journal-specific ...
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Top Impact Scientific Editing Service Process. STEP. 1. Author shares the manuscript, references, and the target journal. STEP. 2. The Scientific Editor revises your manuscript for optimal research presentation, technical accuracy in terminology, coherence, and content structure. STEP.
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Write your abstract after the first draft is completed. Make sure the manuscript conforms to the target journal's word and figure limits. Discuss all possible authors with your PI. If the study involved many people, create a table of possible authors showing their specific contributions to the manuscript.
Start the manuscript preparation by describing the materials and methods, including the planned statistical analysis (~1,000 words or less). This can often be copied from the study protocol. The second step is to describe the results (~350 words). The methods and results are the most important parts of the paper.
Publishing your results is a vital step in the research lifecycle and in your career as a scientist. When you publish your results as a journal article, you make it possible for the scientific community to see it. Publishing your work allows you to get recognition for your results, and to exchange your ideas with the global scientific community.
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Writing and publishing an effective and well-communicative scientific manuscript is arguably one of the most daunting yet important tasks of any successful research project. It is only through publishing the data that an author gets the recognition of the work, gets established as an expert, and becomes citable in the scientific field [ 4 ].
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