ArticlePloS one2013
The impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Quality and Impact of Survey Research Among Anesthesiologists: A Systematic Review.Advances in medical education and practice · 2020Review
- Empirical analysis of the text structure of original research articles in medical journals.PloS one · 2020Article
- Do successful PhD outcomes reflect the research environment rather than academic ability?PloS one · 2020Article
- Releasing a preprint is associated with more attention and citations for the peer-reviewed article.eLife · 2019Article
- Gender Differences in Article Citations by Authors from American Institutions in Major Radiology Journals.Cureus · 2019Article
- Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features.Journal of biomedical informatics · 2019Article
- How much is too much? The effects of information quantity on crowdfunding performance.PloS one · 2018Article
- Article
- Variations in Instructed vs. Published Word Counts in Top Five Medical Journals.Journal of general internal medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe number of citations received is considered an index of study quality and impact. We aimed to examine the factors associated with the number of citations of published articles, focusing on the article length.
methodsOriginal human studies published in the first trimester of 2006 in 5 major General Medicine journals were analyzed with regard to the number of authors and of author-affiliated institutions, title and abstract word count, article length (number of print pages), number of bibliographic references, study design, and 2006 journal impact factor (JIF). A multiple linear regression model was employed to identify the variables independently associated with the number of article citations received through January 2012.
resultsOn univariate analysis the JIF, number of authors, article length, study design (interventional/observational and prospective/retrospective), title and abstract word count, number of author-affiliated institutions, and number of references were all associated with the number of citations received. On multivariate analysis with the logarithm of citations as the dependent variable, only article length [regression coefficient: 14.64 (95% confidence intervals: (5.76-23.50)] and JIF [3.37 (1.80-4.948)] independently predicted the number of citations. The variance of citations explained by these parameters was 51.2%.
conclusionIn a sample of articles published in major General Medicine journals, in addition to journal impact factors, article length and number of authors independently predicted the number of citations. This may reflect a higher complexity level and quality of longer and multi-authored studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.