Full Text:   <2298>

Summary:  <1768>

CLC number: TP391

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2017-01-20

Cited: 0

Clicked: 8321

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Li Weigang

http://orcid.org/0000-0003-1826-1850

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Article info.
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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.2 P.180-194

http://doi.org/10.1631/FITEE.1600991


First and Others credit-assignment schema for evaluating the academic contribution of coauthors


Author(s):  Li Weigang

Affiliation(s):  TransLab, Department of Computer Science, University of Brasilia, Brasilia-DF 70910-900, Brazil

Corresponding email(s):   weigang@unb.br

Key Words:  Bibliometrics, Credit of coauthorship, H-index, Informetrics, Scholar information



Abstract: 
Credit-assignment schemas are widely applied by providing fixed or flexible credit distribution formulas to evaluate the contributions of coauthors of a scientific publication. In this paper, we propose an approach named First and Others (F&O) counting. By introducing a tuning parameter α and a weight β, two new properties are obtained: (1) flexible assignment of credits by modifying the formula (with the change of α) and applying preference to the individual author by adjusting the weights (with the change of β), and (2) calculation of the credits by separating the formula for the first author from others. With formula separation, the credit of the second author shows an inflection point according to the change of α. The developed theorems and proofs concerning the modification of α and β reveal new properties and complement the base theory for informetrics. The F&O schema is also adapted when considering the policy of ‘first-corresponding-author-emphasis’. Through a comparative analysis using a set of empirical data from the fields of chemistry, medicine, psychology, and the Harvard survey data, the performance of the F&O approach is compared with those of other methods to demonstrate its benefits by the criteria of lack of fit and coefficient of determination.

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