Exploring the interdisciplinarity patterns of highly cited papers. Issue 1 (February 2021)
- Record Type:
- Journal Article
- Title:
- Exploring the interdisciplinarity patterns of highly cited papers. Issue 1 (February 2021)
- Main Title:
- Exploring the interdisciplinarity patterns of highly cited papers
- Authors:
- Chen, Shiji
Qiu, Junping
Arsenault, Clément
Larivière, Vincent - Abstract:
- Highlights: Whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. Our results suggest that the effect of variety on citation impact is most significant, followed by disparity and balance. Abstract: This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity) and the typical integration indicators (i.e., the Rao-Stirling index (RS) and the Leinster–Cobbold Diversity Index (LCDiv)) of all papers published in 2000 and indexed in Clarivate Analytics' Web of Science. These papers are categorized into six percentile rank classes according to their citation rates, and the interdisciplinarity among these percentile rank classes is compared. Our results demonstrate that, whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but they also exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. From the perspective of effect size, our results suggest that the effect of variety on citation impact is most significant, followed by disparity andHighlights: Whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. Our results suggest that the effect of variety on citation impact is most significant, followed by disparity and balance. Abstract: This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity) and the typical integration indicators (i.e., the Rao-Stirling index (RS) and the Leinster–Cobbold Diversity Index (LCDiv)) of all papers published in 2000 and indexed in Clarivate Analytics' Web of Science. These papers are categorized into six percentile rank classes according to their citation rates, and the interdisciplinarity among these percentile rank classes is compared. Our results demonstrate that, whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but they also exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. From the perspective of effect size, our results suggest that the effect of variety on citation impact is most significant, followed by disparity and then balance. These results indicate that variety is likely the most important interdisciplinary factor for citation impact. … (more)
- Is Part Of:
- Journal of informetrics. Volume 15:Issue 1(2021)
- Journal:
- Journal of informetrics
- Issue:
- Volume 15:Issue 1(2021)
- Issue Display:
- Volume 15, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 1
- Issue Sort Value:
- 2021-0015-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Interdisciplinarity -- Highly cited papers -- Scientific impact -- Percentiles
Library statistics -- Periodicals
Information science -- Statistical methods -- Periodicals
Bibliometrics -- Periodicals
Bibliothèques -- Statistiques -- Périodiques
Sciences de l'information -- Méthodes statistiques -- Périodiques
Bibliométrie -- Périodiques
020.727 - Journal URLs:
- http://www.journals.elsevier.com/journal-of-informetrics/ ↗
http://rave.ohiolink.edu/ejournals/issn/17511577/ ↗
http://www.sciencedirect.com/science/journal/17511577 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.joi.2020.101124 ↗
- Languages:
- English
- ISSNs:
- 1751-1577
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5006.830000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22339.xml