Entitymetrics: measuring the impact of entities.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 24009660.
- Also identified by DOI 10.1371/journal.pone.0071416 and PMC identifier 3756961.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Bibliometrics
- Biometry