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

Future of ChatGPT in Pharmacovigilance

Drug Safety(2023)10.1007/s40264-023-01315-2Source: DataRank Database

Future of ChatGPT in Pharmacovigilance is a research paper published in Drug Safety (2023). On theSindex it has a DataRank of 0. It has been cited 34 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access34 citations

Download PDF

Cite:

Linked data & code

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 (5 grants)Impact (FWCI 1.01)OA: bronzeTopics (12)Linked Datasets (6)DataCite Reuse (6)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

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 (3)

Yanyi Jenny Ding,Yuan Luo ORCID,Hanyin Wang ORCID

Live enrichment

PubMed:37306853 PMC:PMC11168724 OpenAlex:https://openalex.org/W4380290764

NIH

Grant: U01TR003528

NIH

Grant: R01LM013337

NIDDK NIH HHS

Grant: P30 DK092949

National Institutes of Health

Grant: 5R01LM013337-04

Modeling the Incompleteness and Biases of Health Data

National Institutes of Health

Grant: 1U01TR003528-01A1

CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning

FWCI

1.01

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

bronzeLicense: Springer Nature TDM

journalhttps://link.springer.com/content/pdf/10.1007/s40264-023-01315-2.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s40264-023-01315-2.pdf

publisherhttps://link.springer.com/article/10.1007/s40264-023-01315-2/fulltext.html

journalhttps://doi.org/10.1007/s40264-023-01315-2

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37306853

Fields of Study

Artificial Intelligence in Healthcare and EducationPharmacovigilance and Adverse Drug ReactionsBiosimilars and Bioanalytical Methods

MeSH Terms

Artificial IntelligenceHumansPharmacovigilance

Keywords

MedicinePharmacovigilancePharmacologyAdverse effectArtificial IntelligenceHumans

Sustainable Development Goals

SDG 0: Zero hunger

Additional file 1 of Strategies to enhance risk communication about medicines in Malaysia: a Delphi study among multinational experts

10.6084/m9.figshare.26945880.v1figshare

Additional file 1 of Strategies to enhance risk communication about medicines in Malaysia: a Delphi study among multinational experts

10.6084/m9.figshare.26945880figshare

Additional file 2 of Strategies to enhance risk communication about medicines in Malaysia: a Delphi study among multinational experts

10.6084/m9.figshare.26945883.v1figshare

Additional file 2 of Strategies to enhance risk communication about medicines in Malaysia: a Delphi study among multinational experts

10.6084/m9.figshare.26945883figshare

Additional file 3 of Strategies to enhance risk communication about medicines in Malaysia: a Delphi study among multinational experts

10.6084/m9.figshare.26945886.v1figshare

Additional file 3 of Strategies to enhance risk communication about medicines in Malaysia: a Delphi study among multinational experts

10.6084/m9.figshare.26945886figshare