Eigenfactorizer

Color codes journals in PubMed according to their Eigenfactor Article Influence score (a measure of journal impact).

Eigenfactorizer: Journal Impact Tool on PubMed

Eigenfactorizer is a free Chrome extension that helps users filter content by color-coding journals in PubMed according to their impact measured by the Eigenfactor Score. Developed by Geoff Davis, Jevin West and Carl Bergstrom, this tool will soon be extended to individual articles. It uses a vast database of more than 16 million citations to provide a reliable influence score of the content. Notably, user's search results are not collected, ensuring privacy.

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Extension stats

Users: 2,000+

Rating: 4.14

(7)

Version: 0.99.5 (Last updated: 2014-12-22)

Creation date: 2014-12-22

Risk impact: Low risk impact

Risk likelihood:

Low risk likelihood

Manifest version: 2

Permissions:

http://www.eigenfactor.org/

Size: 2.54M

Ranking

# 21,827 ▲ 88

Other rankings

#11634 in Tools ▼ 123

Other platforms

Not available on Android

Not available on Firefox

Not available on Edge

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Extension summary

Analyze keywords

This tool helps pubmed users filter content. The tool ranks journals based on the Eigenfactor Score and then colors the journals accordingly. Users can quickly glance at the colors to identify high influential journals. We will be extending this to articles in the near future.

The journal and article-level rankings are based on pubmed content. This includes more than 16 million citations from more than 5 million citing papers and cited references.

This is a free tool developed by Geoff Davis at Google, Jevin West and Carl Bergstrom at the University of Washington.

Privacy notice. We do not collect information about a users search results.

If you have questions, please visit www.eigenfactor.org.