As suggested by previous research, adding an author to an article positively impacts the number of citations the article receives; the influence of this attribute is greatly lessened after accounting for the other author and article attributes
2014
Deconstructing the collaborative impact: Article and author characteristics that influence citation count
Key concepts
- strong predictor
- co author
- Bibliometrics
- Science of Science and Innovation Policy
- publishing history
- gender diversity outcome
- mixed group
- level attribute
- professional age
- citation count
- impact
- U.S Patent and Trademark Office
- PubMed Central
- minimum h index
- article level
- Medical Subject Headings
- team size
- collaboration
- middle author
- citation analysis
Scholarcy highlights
- As suggested by previous research, adding an author to an article positively impacts the number of citations the article receives; the influence of this attribute is greatly lessened after accounting for the other author and article attributes
- When combined with the finding that a smaller standard of deviation in h-index correlates with citations in the 3-7 group, we conclude that smaller superstar groups may be likely to achieve comparable citations levels with large, highly networked collaborations
- Negative correlations emerged between citation and both professional age and total number of collaborators, while collaboration rate, associated with a shorter career, predicted citation
- The gender diversity outcomes suggest that mixed groups may be ideal, and further research in this area is indicated
- Attribute reduction To achieve higher variability in the dataset, binary attributes below or above certain thresholds were removed. These included the following: publication types and Medical Subject Headings terms with frequency totaling either less than 5% of the total number of instances or greater than 95% of the total instances, and geographical affiliations with frequency totaling either less than 1% of the total number of instances or greater than 99% of the total instances
- Limitations and Value The purpose of this study is to serve as a starting point for exploring the effect of group author characteristics on citation counts within PubMed Central; while PubMed and PubMed Central represent a valuable disciplinary and scholarly ecosystem for citation-based bibliometric study, further research is required to test whether our results hold across a global scale
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