Bibliometric analysis of manuscript characteristics that influence citations: A comparison of six major psychiatry journals. (January 2019)
- Record Type:
- Journal Article
- Title:
- Bibliometric analysis of manuscript characteristics that influence citations: A comparison of six major psychiatry journals. (January 2019)
- Main Title:
- Bibliometric analysis of manuscript characteristics that influence citations: A comparison of six major psychiatry journals
- Authors:
- Hafeez, Dawood M.
Jalal, Sabeena
Khosa, Faisal - Abstract:
- Abstract: In this study we investigated the characteristics of psychiatry manuscript that influence its citation rate. We conducted a cross-sectional study of published articles (n = 545), from January to June 2007, from 6 major psychiatry journals with the highest 5-year impact-factor. Citation count for these articles was retrieved from Web Of Science (by Clarivate Analytics) and 22 article characteristics were tabulated manually. We then predicted the citation rate by performing univariate analysis, spearman rank-order correlation, and multiple regression model on the collected variables. Using spearman rank-order correlation, we found the following variables to have significant positive correlation with citations: abstract character count ( r s and p -value, 0.22 and 0.001 respectively), number of references (0.2, 0.01), abstract word count (0.17, 0.0005), number of pages (0.15, 0.003), open access (0.06, 0.05), study design reported in title (0.04, 0.0001), total number of words (0.03, 0.01) and structured abstract (0.03, 0.0009). In a multivariate linear regression model, the following variables predicted increased citation rates ( p < 0.001, R 2 = 0.38): reporting of study design in title, structured abstract and open access. Editors and authors of psychiatry journals can improve the impact of their journals and articles by utilizing this bibliometric study when assembling their manuscript. Highlights: Structured and longer abstract has potential for increasedAbstract: In this study we investigated the characteristics of psychiatry manuscript that influence its citation rate. We conducted a cross-sectional study of published articles (n = 545), from January to June 2007, from 6 major psychiatry journals with the highest 5-year impact-factor. Citation count for these articles was retrieved from Web Of Science (by Clarivate Analytics) and 22 article characteristics were tabulated manually. We then predicted the citation rate by performing univariate analysis, spearman rank-order correlation, and multiple regression model on the collected variables. Using spearman rank-order correlation, we found the following variables to have significant positive correlation with citations: abstract character count ( r s and p -value, 0.22 and 0.001 respectively), number of references (0.2, 0.01), abstract word count (0.17, 0.0005), number of pages (0.15, 0.003), open access (0.06, 0.05), study design reported in title (0.04, 0.0001), total number of words (0.03, 0.01) and structured abstract (0.03, 0.0009). In a multivariate linear regression model, the following variables predicted increased citation rates ( p < 0.001, R 2 = 0.38): reporting of study design in title, structured abstract and open access. Editors and authors of psychiatry journals can improve the impact of their journals and articles by utilizing this bibliometric study when assembling their manuscript. Highlights: Structured and longer abstract has potential for increased citation rate. Longer and detailed studies with more references positively correlated with higher citations. Reporting study designs in the title predicted increased citation rate. Open access, which allows easy access and greater visibility, positively influence citations. … (more)
- Is Part Of:
- Journal of psychiatric research. Volume 108(2019)
- Journal:
- Journal of psychiatric research
- Issue:
- Volume 108(2019)
- Issue Display:
- Volume 108, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 108
- Issue:
- 2019
- Issue Sort Value:
- 2019-0108-2019-0000
- Page Start:
- 90
- Page End:
- 94
- Publication Date:
- 2019-01
- Subjects:
- Bibliometrics -- Citation rate -- Citation -- Manuscript -- Psychiatry
Psychiatry -- Periodicals
Mental Disorders -- Periodicals
Maladies mentales -- Périodiques
Psychiatry
Electronic journals
Periodicals
616.89005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00223956 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jpsychires.2018.07.010 ↗
- Languages:
- English
- ISSNs:
- 0022-3956
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5043.250000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8756.xml