🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Helen Brotherton

Evolved Analytics (United States)

ORCID: 0000-0001-8798-8557

MedicineNursing

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 3 papers. Top paper: “Development and validation of a simplified score to predict neonatal mortality risk among neonates weighing 2000 g or less (NMR-2000): an analysis using data from the UK and The Gambia”.

Development and validation of a simplified score to predict neonatal mortality risk among neonates weighing 2000 g or less (NMR-2000): an analysis using data from the UK and The Gambia

The Lancet Child & Adolescent Health(2020)10.1016/s2352-4642(20)30021-3

N/A

0DataRank · unranked

43 citations

Helen Brotherton, Abdou Gai, Cally J Tann, Chris Gale, Peter Waiswa +4 more

Interventions to prevent neonatal healthcare-associated infections in low-resource settings: a systematic review

medRxiv(2020)10.1101/2020.12.17.20248047

N/A

0DataRank · unranked

2 citations

Walter Zingg, Gwendoline Chimhini, Simbarashe Chimhuya, Stefanie Wittmann, Helen Brotherton +10 more

Preterm care during the COVID-19 pandemic: A comparative risk analysis of neonatal deaths averted by kangaroo mother care versus mortality due to SARS-CoV-2 infection

EClinicalMedicine(2021)10.1016/j.eclinm.2021.100733

N/A

0DataRank · unranked

96 citations

Melissa M. Medvedev, Ebunoluwa A. Adejuyigbe, Helen Brotherton, Harish Chellani, Abiy Seifu Estifanos +19 more