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

Young Anna Argyris

Michigan State University

ORCID: 0000-0003-2415-3223
Social SciencesMedicine

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: “Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media”.

Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media

PubMed(2022)10.1109/icdh55609.2022.00025
N/A
0.419DataRank · unranked
7 citations

Nan Zhang, Bidhan Bashyal, Pang‐Ning Tan, Young Anna Argyris

Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptance

Social Science & Medicine(2024)10.1016/j.socscimed.2024.116775
N/A
0.208DataRank · unranked
3 citations

Bidhan Bashyal, Pang‐Ning Tan, Young Anna Argyris, Victoria A. Nelson

Do social media campaigns foster vaccination adherence? A systematic review of prior intervention-based campaigns on social media

Telematics and Informatics(2022)10.1016/j.tele.2022.101918
N/A
0DataRank · unranked
16 citations

Victoria R. Nelson, Kaleigh Anne Wiseley, Ruoyu Shen, Alexa Roscizewski, Young Anna Argyris