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

Patient Characteristics Associated With Phone and Video Visits at a Tele-Urgent Care Center During the Initial COVID-19 Response: Cross-Sectional Study

UNC Libraries(2024)10.17615/23zb-jv79Source: DataRank Database

Patient Characteristics Associated With Phone and Video Visits at a Tele-Urgent Care Center During the Initial COVID-19 Response: Cross-Sectional Study is a research paper published in UNC Libraries (2024). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Free full text

Cite:

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)OA: goldTopics (9)IDs (PubMed)SDGs (1)

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 (5)

Barbara Edson ORCID,Malvika Pillai ORCID,Saif Khairat ORCID,John, Roshan,Philip McDaniel ORCID

Live enrichment

PubMed:19162232

National Institutes of Health

Grant: 5RC2TR004380-03

Center for Virtual Care Value and Excellence (ViVE).

National Institutes of Health

Grant: 1T15LM012500-01

An Interdisciplinary Program for Advanced Training in Health Data Analytics

goldLicense: http://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Online Journal of Public Health Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://ojphi.jmir.org/, as well as this copyright and license information must be included.

https://doi.org/10.2196/50962

https://dx.doi.org/10.17615/23zb-jv79

https://pubmed.ncbi.nlm.nih.gov/38241073

http://dx.doi.org/10.2196/50962

https://doaj.org/article/082418be762942568b2760d884dad00d

Fields of Study

03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Original PaperComputer applications to medicine. Medical informaticsR858-859.7Public aspects of medicineRA1-1270

Sustainable Development Goals

SDG 3: 3. Good health