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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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What can article-level metrics do for you?

Martin Fenner¹

¹Article-Level Metrics Project, Public Library of Science, San Francisco, California, United States of America.

|October 30, 2013

Summary

This summary is machine-generated.

Article-level metrics (ALMs) offer a comprehensive view of research impact beyond traditional journal metrics. These metrics track an article's engagement through citations, usage, and online discussions, highlighting its scientific community uptake.

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Area of Science:

Bibliometrics
Scientific Communication
Scholarly Publishing

Background:

Traditional journal metrics focus on citation counts, offering a limited view of an article's impact.
The scientific community's engagement with research extends beyond citations to include usage and online discussions.

Purpose of the Study:

To explain the importance of article-level metrics (ALMs) as an extension of journal metrics.
To demonstrate the value of ALMs using examples from PLOS Biology data.

Main Methods:

Review of existing literature on bibliometrics and research impact.
Analysis of article-level metrics data, including citations, usage, social media mentions, and bookmarking.
Case study using data from PLOS Biology.

Main Results:

ALMs provide a richer, multi-dimensional understanding of an article's influence and reach.
Examples illustrate how ALMs capture diverse forms of scientific community engagement.
ALMs complement traditional metrics by showing broader impact and dissemination.

Conclusions:

Article-level metrics are crucial for a comprehensive assessment of scientific research impact.
ALMs offer valuable insights into how research is used, discussed, and shared.
Adoption of ALMs enhances the evaluation of scholarly articles and their contribution to science.