Journal article
Entitymetrics: Measuring the Impact of Entities
PloS one, v 8(8), pp e71416-e71416
29 Aug 2013
PMID: 24009660
Abstract
This paper proposes entitymetrics to measure the impact of knowledge units. Entitymetrics highlight the importance of entities embedded in scientific literature for further knowledge discovery. In this paper, we use Metformin, a drug for diabetes, as an example to form an entity-entity citation network based on literature related to Metformin. We then calculate the network features and compare the centrality ranks of biological entities with results from Comparative Toxicogenomics Database (CTD). The comparison demonstrates the usefulness of entitymetrics to detect most of the outstanding interactions manually curated in CTD.
Metrics
Details
- Title
- Entitymetrics: Measuring the Impact of Entities
- Creators
- Ying DingMin SongJia HanQi YuErjia YanLili LinTamy Chambers
- Publication Details
- PloS one, v 8(8), pp e71416-e71416
- Publisher
- Public Library of Science; San Francisco, USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000323734600005
- Scopus ID
- 2-s2.0-84883229820
- Other Identifier
- 991014877750804721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Information Science & Library Science