Harmonic Allocation of Authorship Credit: Source-Level Correction of Bibliometric Bias Assures Accurate Publication and Citation Analysis
2008

Harmonic Allocation of Authorship Credit

Sample size: 20 publication Evidence: moderate

Author Information

Author(s): Hagen Nils T., DeSalle Robert

Primary Institution: Bodø University College

Hypothesis

How can authorship credit be allocated fairly in multi-authored scientific publications?

Conclusion

Harmonic counting provides a transparent and accurate method for allocating authorship credit, correcting biases in bibliometric measures.

Supporting Evidence

  • Harmonic counting corrects both inflationary and equalizing biases in authorship credit allocation.
  • The harmonic h-index minimizes the range of overlap in h-index scores between associate and full professors.
  • 80% of the staff's h-index scores were altered by counting bias.
  • Harmonic counting provides a transparent protocol for bibliometric research evaluation.

Takeaway

This study shows a new way to give credit to authors of scientific papers so that everyone gets a fair amount based on their contribution.

Methodology

The study analyzed publication and citation records of 20 scientists using bibliometric measures to assess authorship credit allocation.

Potential Biases

Potential biases in authorship credit allocation could still exist if byline information is not accurately interpreted.

Limitations

The study relies on the assumption that authorship rank accurately reflects contribution, which may not always be true.

Participant Demographics

The sample included 11 associate professors and 9 full professors from the Faculty of Biosciences and Aquaculture, Bodø Regional University, Norway.

Digital Object Identifier (DOI)

10.1371/journal.pone.0004021

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