A new browser extension aims to shake up the way researchers are credited for their work on Google Scholar. The tool, called GScholarLens, provides a weighted metric that takes into account an author's position in author lists. This means that corresponding authors - often the lead researcher behind a paper - receive the highest weighting, with 100% of citations attributed to them.
First authors and last authors follow closely behind, with 90% and 50% weighting respectively. However, researchers who contribute significantly but are not at the forefront of their papers - such as those in middle positions or collaborating on multiple projects - get a lower share.
The creators of GScholarLens believe that this weighted metric will help identify individuals who may be engaging in unethical practices, like paid authorship. By giving more weight to lead authors and fewer to collaborative contributors, the tool aims to provide a more nuanced picture of researchers' contributions.
However, not everyone is convinced that this approach is accurate. Alberto Martín-Martín, an information scientist, notes that simply assigning different weights doesn't capture the full complexity of authorship positions. He argues that the tool incorrectly assumes corresponding authors are always last in author lists, which often isn't the case.
Despite these criticisms, GScholarLens may still prove useful for researchers and institutions looking to create more fair and comprehensive evaluation systems. The tool's creators plan to tweak the weighting system based on user feedback, so it will be interesting to see how this project evolves over time.
First authors and last authors follow closely behind, with 90% and 50% weighting respectively. However, researchers who contribute significantly but are not at the forefront of their papers - such as those in middle positions or collaborating on multiple projects - get a lower share.
The creators of GScholarLens believe that this weighted metric will help identify individuals who may be engaging in unethical practices, like paid authorship. By giving more weight to lead authors and fewer to collaborative contributors, the tool aims to provide a more nuanced picture of researchers' contributions.
However, not everyone is convinced that this approach is accurate. Alberto Martín-Martín, an information scientist, notes that simply assigning different weights doesn't capture the full complexity of authorship positions. He argues that the tool incorrectly assumes corresponding authors are always last in author lists, which often isn't the case.
Despite these criticisms, GScholarLens may still prove useful for researchers and institutions looking to create more fair and comprehensive evaluation systems. The tool's creators plan to tweak the weighting system based on user feedback, so it will be interesting to see how this project evolves over time.