万维提示：
1、投稿方式：在线投稿。
2、期刊网址：https://journals.asm.org/journal/jcm
3、投稿网址：https://jcm.msubmit.net/
4、官网邮箱：
alexander.mcadam@childrens.harvard.edu（主编）
更多编辑邮箱请查看期刊官网信息。
5、期刊刊期：月刊，一年出版12期。
2021年10月19日星期二
投稿须知【官网信息】
Journal of Clinical Microbiology
JCM Article Types
Article Type
Description
Word Count Guidance
Research Articles
Research Article subjects include the laboratory diagnosis of human and animal infections, the role of the laboratory in managing infectious diseases (including antimicrobial and diagnostic test stewardship), and the role of the laboratory in elucidating the epidemiology of infections.
3,000 words, exclusive of the abstract, Materials and Methods, references, tables, and figure legends; abstract limited to 250 words
Minireviews
Minireviews are expected to be focused discussions of defined topics relevant to clinical microbiologists. In general, they are to be submitted only following invitation by the editor in chief or the Minireview section editor of JCM. Suggestions for Minireview topics may be sent to the editor in chief by e-mail.
6,000 words in length, exclusive of tables, figures, photographs, and references; abstract limited to 250 words
Commentaries
Commentaries are invited communications concerning topics relevant to the readership of JCM and are intended to engender discussion. Reviews of the literature, methods and other how-to papers, and responses targeted at a specific published paper are not appropriate.
6,000 words in length, exclusive of tables, figures, photographs, and references; abstract limited to 250 words
Point-Counterpoint
Point-Counterpoint is a feature of JCM in which two experts present opposing views on a contemporary issue in the laboratory diagnosis of infectious diseases. Participation as an author of a Point-Counterpoint feature is by invitation only.
Editor’s introduction limited to 200 words; commentary from each expert limited to 1,000 words
The Brief Case
The Brief Case is an educational feature with the objective of presenting concepts relevant to the practice of clinical microbiology. The cases should be germane to the routine practice of clinical microbiology and should not represent extremely rare or obscure events. The intended audience of the feature includes those training and practicing in clinical microbiology and infectious disease; in particular, the feature should be useful to those in training.
500 words for the case presentation summary, followed by a discussion of 800 to 1,100 words and three self-assessment questions
Photo Quiz
A Photo Quiz submission should present the findings of some relevant, interesting, and new observation pertinent to the practice of clinical microbiology in which a photograph is particularly useful in conveying important information and where the observation can serve as the basis for both a question and an answer.
300 words for the presentation, 300 words for the answer; no abstract
Letters to the Editor
Two types of Letters to the Editor may be submitted. The first type (Comment Letter) is intended for comments on articles published in the journal and must cite published references to support the writer's argument. The second type (New-Data Letter) may report new, concise findings that are not appropriate for publication as Research Articles.
500 words, exclusive of references; no abstract
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更多详情：
https://journals.asm.org/journal/jcm/article-types
JCM Submission and Review Process
Initial Submissions
For initial submissions, JCM welcomes papers in any format (format-neutral submissions). At this stage, authors are encouraged to upload a single PDF that incorporates the full text, tables, and figures. The reference style, the arrangement of sections of the paper, and other formatting issues are at the discretion of the author at initial submission. However, to assist the reviewers, manuscript pages should have continuous line numbers and page numbers. (For revised submissions and resubmissions, formatting guidelines are described in detail below.)
Statistics
Statistical analysis of data is a crucial component of scientific publication. Authors who are unsure of proper statistical analysis should have their manuscripts checked by a qualified statistician.
The following is a list of important items that must be considered before manuscript submission. Deficiencies in any of these areas may delay review and/or publication.
The same reference (gold) standard should be used for all samples for a given analyte. That reference standard might include more than one test, but it should be used and interpreted consistently for all samples. The reference standard should not include results from the test that is under study.
Do not use “sensitivity” or “specificity” to describe results which compare a new test to a non-reference standard. Use the terms “positive percent agreement” and “negative percent agreement” for these results, as recommended by the FDA guidance document "Statistical Guidance on Reporting Results from Studies Evaluating Diagnostic Tests”.
The use of discrepant analysis is seldom justified. If discrepant analysis is used, an explanation for its use must be included in the Materials and Methods section. The data should be presented as recommended in section 7.3 of the FDA guidance document “Statistical Guidance on Reporting Results from Studies Evaluating Diagnostic Tests.” Sensitivity and specificity cannot be calculated using results of discrepant analysis. Retesting specimens that have initially discrepant results between two assays using the same assays does not yield valid results.
Positive and negative predictive values cannot be calculated when the natural prevalence of disease has been altered. Using patient populations that are enriched for positives or are known not to include positives precludes the use of positive predictive values and negative predictive values.
Sensitivity, specificity, positive predictive values, negative predictive values, and other such proportional measurements must be reported with confidence intervals (typically 95% confidence intervals).
Bland-Altman plots should be used for comparisons between quantitative measurements by clinical tests (J. M. Bland and D. G. Altman, Lancet 327:307–310, 1986). Correlation plots with R2 values may be included in addition to Bland-Altman plots.
Statistical analyses should be performed on all quantitative data regardless of how significant the differences look in the tables or figures.
Data should be appropriately analyzed as parametric (normally distributed) or nonparametric data.
Parametric and nonparametric data are presented appropriately. Means and standard deviations or standard errors are appropriate means of presenting data analyzed by parametric analyses (i.e., t test and analysis of variance [ANOVA]), but only medians and surrounding levels (quartiles, quintiles, and 10th and 90th percentiles, etc.) are appropriate for nonparametric statistics (Mann-Whitney test and Kruskal-Wallis test, etc.). Means have no meaning in nonparametric analyses.
For any data in which there are more than two comparisons (i.e., between one control and more than one experimental group), an analysis must be done for multigroup comparisons. Such an analysis would usually be an ANOVA for parametric data or a Kruskal-Wallis test for nonparametric data. t tests cannot be used when more than two groups are being compared (except as indicated below). Failure to use multigroup tests generates type 1 errors: concluding that two data sets within the overall data set being compared are different when in fact they are not. Exception: some statisticians argue that two-group comparisons can be used on multigroup data if the expected outcomes are appropriately anticipated before the experiment. For example, data generated by individually testing two unrelated factors for their effects on a target with only a single, untreated target as a control could be appropriately analyzed by t tests instead of ANOVA.
For all appropriate multigroup comparisons, two P values must be generated and provided in the manuscript. The main P value applies to the overall data set and indicates that within that data set at least two groups differ from each other. The overall P value does not indicate which two groups are different. The main P value and the overall P value should be computed by using a post hoc test. For ANOVA, these post hoc tests are usually Dunnett’s test (used to compare multiple experimental groups to a single control), the Fisher protected least significant difference (PLSD) test, the Tukey-Kramer test, and the Games-Howell test. Others may be used. Note that each post hoc test has certain underlying assumptions that may not be applicable to the data under analysis. For a Kruskal-Wallis nonparametric ANOVA, the Dunn procedure is appropriate to generate P values for two-group comparisons.
Data presented as endpoints (i.e., LD50 and ID50, etc.) contain both the calculated value and a confidence interval with a statistical significance associated with it (95%, 99%, or similar confidence interval), calculated by logit or probit analysis. Simple LD50 values, such as Reed-Muench calculations, may not be used alone.
When samples are taken multiple times from one experimental entity (i.e., multiple serum samples from one animal, gross pathology scores measured for the same animal over time or growth curves, etc.), one cannot use analyses such as t tests, ANOVA, or the Mann-Whitney test, etc., because these tests assume that each measure is independent. An entity with a high score on day 1 is more likely to have a high score on day 2 than is an entity with a low score. It is likely that some expert statistical help will be needed for these situations, usually involving regression analysis or survival analysis, etc.
Statistical significance and biological significance are not the same. There is nothing magical about a P value of 0.05. When results from large sample sizes are compared, a P value of 0.05 will often be obtained, as P value is a function of both sample size and effect size. If sample sizes are large, then more-rigorous (i.e., smaller) P values may be desirable. If sample sizes are small, P values of 0.05 may still be important. There should be both statistical and biological significance to the results and conclusions in the manuscript.
For a review of some common errors associated with statistical analyses and reports, plus guidelines on how to avoid them, see the articles by Olsen (Infect Immun 71:6689–6692, 2003; Infect Immun 82:916–920, 2014). For a review of basic statistical considerations for virology experiments, see the article by Richardson and Overbaugh (J Virol 79:669 – 676, 2005).
Submission Process
All submissions to JCM must be made electronically via the eJournalPress (eJP) online submission and peer review system at the following URL: https://jcm.msubmit.net/cgi-bin/main.plex. (E-mailed submissions will not be accepted.) First-time users must create an Author account, which may be used for submitting to all ASM journals. Instructions for creating an Author account are available at the above URL via the "help for authors" link, and step-by-step instructions for submitting a manuscript via eJP are also available through the same link on the log-in screen or on the account holder's Home page. Information on file types acceptable for electronic submission can be found under the Files heading in the help for authors screen.
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https://journals.asm.org/journal/jcm/submission-review-process
