Chambers Brendan

NeuroscienceEngineeringComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding”.

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding

npj Systems Biology and Applications(2021)10.1038/s41540-021-00200-x

N/A

0.416DataRank · unranked

15 citations

Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross D. King +20 more

NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.05.368969

N/A

0.165DataRank · unranked

2 citations

Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross D. King +17 more