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Is statistician involvement as co-author associated with reduced time to publication of quantitative research in general medical journals? A bibliometric study

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Titel: Is statistician involvement as co-author associated with reduced time to publication of quantitative research in general medical journals? A bibliometric study
Autoren: Paul Sebo, Jean Pascal Fournier, Hubert Maisonneuve
Weitere Verfasser: Primary Care Unit Geneva, Switzerland (Faculty of Medicine), Université de Genève = University of Geneva (UNIGE), Département de médecine générale Université de Nantes - UFR de Médecine et des Techniques Médicales (DMG Nantes), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Département de Médecine Générale Strasbourg, Les Hôpitaux Universitaires de Strasbourg (HUS)
Quelle: Family Practice (2018)
Verlagsinformationen: Oxford University Press (OUP), 2018.
Publikationsjahr: 2018
Schlagwörter: Biomedical Research, Time Factors, general medical journals, MESH: Internal Medicine, retrospective study, [SDV]Life Sciences [q-bio], Statistics as Topic, statistician, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, time to acceptance, MESH: Authorship, Internal Medicine, Humans, 0101 mathematics, MESH: Qualitative Research, MESH: Statistics as Topic, Qualitative Research, ddc:613, Retrospective Studies, Delay of publication, MESH: Humans, MESH: Bibliometrics, MESH: Biomedical Research, MESH: Time Factors, time to publication, MESH: Retrospective Studies, number of submissions, Authorship, 3. Good health, Bibliometrics, publication speed, Periodicals as Topic, MESH: Periodicals as Topic
Beschreibung: Objective We aimed to compare the number of submissions until acceptance and the time to publication between articles co-authored and articles not co-authored by statisticians. Methods We randomly selected 781 articles published in 2016 in 18 high impact factor journals of general internal medicine and primary care. For each article, we retrieved its date of submission to the journal and its first publication; we also contacted its corresponding author and asked about the number of submissions necessary from the first submission to a journal until acceptance and whether the article was co-authored by a statistician. After having excluded qualitative studies, we compared the articles co-authored with those not co-authored by statisticians in terms of number of submissions and submission-to-publication time, using negative binomial and Cox regressions, adjusted for intracluster correlations. Results One hundred fifty-eight authors completed the questionnaire (20%); 136 articles with quantitative design were included in the study. Overall, 63 articles (46%) were co-authored by statisticians. There was no statistically significant difference in the number of submissions (statistician group: mean 2.1 (SD 1.1) versus 2.2 (SD 1.2), P value 0.87). By contrast, we found a statistically significant difference in the submission-to-publication time (statistician group: median 211 days [interquartile range (IQR) 171] versus 260 (IQR 144); hazard ratio 1.44 (95% CI 1.01–2.03), adjusted P value 0.04). Conclusions Papers co-authored by statisticians have a shorter time to publication. We encourage researchers to closely involve statisticians in the design, conduct and statistical analysis of research, not only to ensure high standards of quality but also to speed up its publication.
Publikationsart: Article
Dateibeschreibung: application/pdf
Sprache: English
ISSN: 1460-2229
DOI: 10.1093/fampra/cmy115
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/30476030
https://pubmed.ncbi.nlm.nih.gov/30476030/
https://academic.oup.com/fampra/article/36/4/431/5210188
https://www.ncbi.nlm.nih.gov/pubmed/30476030
https://archive-ouverte.unige.ch/unige:114888
https://europepmc.org/abstract/MED/30476030
https://archive-ouverte.unige.ch/unige:114888
https://archive-ouverte.unige.ch/unige:114888
https://doi.org/10.1093/fampra/cmy115
Rights: OUP Standard Publication Reuse
Dokumentencode: edsair.doi.dedup.....9e67b51b6ebbf6e93c0c7f2f7c4ce559
Datenbank: OpenAIRE
Beschreibung
Abstract:Objective We aimed to compare the number of submissions until acceptance and the time to publication between articles co-authored and articles not co-authored by statisticians. Methods We randomly selected 781 articles published in 2016 in 18 high impact factor journals of general internal medicine and primary care. For each article, we retrieved its date of submission to the journal and its first publication; we also contacted its corresponding author and asked about the number of submissions necessary from the first submission to a journal until acceptance and whether the article was co-authored by a statistician. After having excluded qualitative studies, we compared the articles co-authored with those not co-authored by statisticians in terms of number of submissions and submission-to-publication time, using negative binomial and Cox regressions, adjusted for intracluster correlations. Results One hundred fifty-eight authors completed the questionnaire (20%); 136 articles with quantitative design were included in the study. Overall, 63 articles (46%) were co-authored by statisticians. There was no statistically significant difference in the number of submissions (statistician group: mean 2.1 (SD 1.1) versus 2.2 (SD 1.2), P value 0.87). By contrast, we found a statistically significant difference in the submission-to-publication time (statistician group: median 211 days [interquartile range (IQR) 171] versus 260 (IQR 144); hazard ratio 1.44 (95% CI 1.01–2.03), adjusted P value 0.04). Conclusions Papers co-authored by statisticians have a shorter time to publication. We encourage researchers to closely involve statisticians in the design, conduct and statistical analysis of research, not only to ensure high standards of quality but also to speed up its publication.
ISSN:14602229
DOI:10.1093/fampra/cmy115