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Related Experiment Video

Updated: May 23, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Published on: January 26, 2024

Author disambiguation using multi-aspect similarity indicators.

Thomas Gurney, Edwin Horlings, Peter van den Besselaar

    Scientometrics
    |April 10, 2012
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel algorithm for author disambiguation in bibliometric analysis, significantly improving accuracy and recall. The method enhances record linkage by considering author contributions and publication age, outperforming existing techniques.

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    Area of Science:

    • Bibliometrics
    • Scientometrics
    • Information Science

    Background:

    • Accurate bibliometric analysis relies on precise author-to-work linkage.
    • Existing methods struggle with null data fields and suboptimal precision-recall balance.

    Purpose of the Study:

    • To develop an advanced algorithm for author disambiguation.
    • To enhance the precision and recall of bibliometric data linkage.

    Main Methods:

    • Developed a novel algorithm for author disambiguation.
    • Implemented a dynamic similarity calculation using all data fields.
    • Incorporated author contribution and publication age differences into similarity metrics.

    Main Results:

    • Achieved very high precision and recall in author disambiguation.
    • Addressed issues of discarded records due to null data fields.
    • Demonstrated significant improvements over previous and standalone techniques using a heterogeneous catalysis dataset.
    • Reported significantly high average F-measure scores.

    Conclusions:

    • The developed algorithm offers a superior approach to author disambiguation in bibliometrics.
    • The method effectively handles data limitations and enhances linkage accuracy.
    • This advancement has substantial implications for the reliability of bibliometric analyses.