Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data

Journal of Medical Internet Research(2020)10.2196/19301Source: DataRank Database

Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data is a research paper published in Journal of Medical Internet Research (2020). On theSindex it has a DataRank of 0. It has been cited 294 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access294 citations

Download PDF

Cite:

Linked data & code

doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 88.17)OA: goldTopics (73)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (2)

Ruoyan Sun ORCID,Henna Budhwani ORCID

Live enrichment

PubMed:32343669 PMC:PMC7205030 OpenAlex:https://openalex.org/W3017885019

NIMH NIH HHS

Grant: K01 MH116737

National Institutes of Health

Grant: 7K01MH116737-05

Adapting, Pilot Testing a Behavioral Intervention to Incorporate Advances in HIV Prevention for Black Young MSM in Alabama

FWCI

88.17

Citation Percentile

1.0%

Citation Trend

2019

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://www.jmir.org/2020/5/e19301/PDF

publisherhttps://www.jmir.org/2020/5/e19301/PDF

publisherhttps://www.jmir.org/2020/5/e19301

journalhttps://doi.org/10.2196/19301

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32343669

Fields of Study

Misinformation and Its ImpactsData-Driven Disease SurveillanceComputational and Text Analysis Methods03 medical and health sciences0302 clinical medicineBetacoronavirusCOVID-19ChinaCoronavirus InfectionsFederal GovernmentHumansPandemicsPneumonia, ViralPoliticsSARS-CoV-2Social MediaSocial StigmaStereotypingTerminology as TopicUnited States

MeSH Terms

BetacoronavirusCOVID-19SARS-CoV-2ChinaHumansTerminology as TopicPneumonia, ViralPoliticsStereotypingUnited StatesCoronavirus InfectionsFederal GovernmentSocial StigmaPandemicsSocial Media

Keywords

ChinaPython (programming language)Coronavirus disease 2019 (COVID-19)VirusSocial mediaGeographyVirologyComputer scienceWorld Wide WebMedicineInfectious disease (medical specialty)DiseaseCoronavirusstigmaPublic HealthTwitterCovid-19330Computer applications to medicine. Medical informaticsPneumonia, ViralSocial StigmaR858-859.7Federal Government950BetacoronavirusTerminology as TopicHumansViralPandemicsOriginal PaperStereotypingSARS-CoV-2PoliticsPneumoniaUnited StatesPublic aspects of medicineRA1-1270Coronavirus Infections

Sustainable Development Goals

SDG 3: 3. Good healthSDG 10: 10. No inequality