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The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals
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BACKGROUND: The 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. METHODS: Original 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. RESULTS: On 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%. CONCLUSION: In 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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“Several studies have indicated that some characteristics of a document's title and abstract might be less or more attractive for different readers.”
From Core Elements in the Process of Citing Publications: Conceptual Overview of the Literature (2018) · cites this paper as Falagas et al., 2013
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“For instance, it has been revealed that a positive correlation exists between citation counts and the number of cited references (Falagas et al., 2013) that is documents with more cited references would achieve more citations (Vieira and Gomes, 2010).”
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Metadata
- Authors
- Falagas, M. E., Zarkali, A., Karageorgopoulos, D. E., Bardakas, V., & Mavros, M. N.
- Affiliations
- Tufts University (US)
- Alfa Institute of Biomedical Sciences (GR)
- Hygeia Hospital (GR)
- National Technical University of Athens (GR)
- Corresponding author
- Falagas, Matthew E.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-02-06
- Volume
- 8
- Issue
- 2
- Pages
- e49476
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3566179
- OpenAlex
- W2059156680
- Cited by
- 168
- References
- 29
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 10 · 2023: 11 · 2022: 14 · 2021: 13 · 2020: 35 · 2019: 14 · 2018: 14 · 2017: 10 · 2016: 8 · 2015: 11 · 2014: 6 · 2013: 4
- FWCI
- 10.65
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Library and Information Sciences › Academic Writing and Publishing
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- article length, citation impact, journal impact factor, number of authors, bibliographic references, research design, general medicine journals, research quality indicators
- MeSH terms
- Equipment Design, Humans, Publishing, Research, Bibliometrics, Journal Impact Factor
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