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

Prevalence and characteristics of long COVID in elderly patients: An observational cohort study of over 2 million adults in the US

PLoS Medicine(2023)10.1371/journal.pmed.1004194Source: DataRank Database

Prevalence and characteristics of long COVID in elderly patients: An observational cohort study of over 2 million adults in the US is a research paper published in PLoS Medicine (2023). On theSindex it has a DataRank of 0. It has been cited 114 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access114 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 (1 grants)Impact (FWCI 17.93)OA: goldTopics (39)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, PMC, OpenAlex)Annotations (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 (5)

Fitsum Baye,Seo Hyon Baik ORCID,ZhaoNian Zheng,Clement J. McDonald ORCID,Kin Wah Fung ORCID

Live enrichment

PubMed:37068113 PMC:PMC10150975 OpenAlex:https://openalex.org/W4366083145

National Institutes of Health

FWCI

17.93

Citation Percentile

1.0%

Influential Citations

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pmed.1004194

GOLDhttps://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1004194&type=printable

publisherhttps://doi.org/10.1371/journal.pmed.1004194

publisherhttps://dx.plos.org/10.1371/journal.pmed.1004194

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37068113

Fields of Study

Long-Term Effects of COVID-19Chronic Obstructive Pulmonary Disease (COPD) ResearchRespiratory and Cough-Related ResearchMedicineHumansAdultAgedUnited StatesCohort StudiesMedicarePost-Acute COVID-19 SyndromeInfluenza, HumanPrevalenceCOVID-19

MeSH Terms

COVID-19Post-Acute COVID-19 SyndromeAdultAgedMedicareHumansInfluenza, HumanUnited StatesCohort StudiesPrevalence

Keywords

Observational studyMedicineCoronavirus disease 2019 (COVID-19)Cohort studySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakCohortGerontologyDemographyEnvironmental healthVirologyInternal medicineOutbreakDiseaseInfectious disease (medical specialty)

Additional file 1 of Comparison of post-acute sequelae following hospitalization for COVID-19 and influenza

10.6084/m9.figshare.24741970.v1figshare

Additional file 1 of Comparison of post-acute sequelae following hospitalization for COVID-19 and influenza

10.6084/m9.figshare.24741970figshare

Additional file 2 of The causal relationship between COVID-19 and estimated glomerular filtration rate: a bidirectional Mendelian randomization study

10.6084/m9.figshare.25001764.v1figshare

Additional file 2 of The causal relationship between COVID-19 and estimated glomerular filtration rate: a bidirectional Mendelian randomization study

10.6084/m9.figshare.25001764figshare

Additional file 1 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26074042.v1figshare

Additional file 1 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26074042figshare

Additional file 2 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26074277.v1figshare

Additional file 2 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26074277figshare

Additional file 3 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736825.v1figshare

Additional file 3 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736825figshare

Additional file 4 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736828.v1figshare

Additional file 4 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736828figshare

Additional file 5 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736831.v1figshare

Additional file 5 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736831figshare

Additional file 6 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736834.v1figshare

Additional file 6 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736834figshare

Additional file 7 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736837.v1figshare

Additional file 7 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736837figshare

Additional file 8 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736840.v1figshare

Additional file 8 of Healthcare utilisation in people with long COVID: an OpenSAFELY cohort study

10.6084/m9.figshare.26736840figshare

Related Papers (10)

Identifying who has long COVID in the USA: a machine learning approach using N3C data

N/A

0.843DataRank · unranked

The Lancet Digital Health(2022)

co-cited

10.1016/s2589-7500(22)00048-6

Use of At-Home COVID-19 Tests — United States, August 23, 2021–March 12, 2022

MMWR Morbidity and Mortality Weekly Report(2022)

co-cited

10.15585/mmwr.mm7113e1

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid

Top 46%

0.403DataRank

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2022)

co-cited

10.1109/bibm55620.2022.9994851

Coding long COVID: characterizing a new disease through an ICD-10 lens

N/A

7.2DataRank · unranked

BMC Medicine(2023)

co-cited

10.1186/s12916-023-02737-6

Systematic Review of the Prevalence of Long COVID

N/A

0.740DataRank · unranked

Open Forum Infectious Diseases(2023)

co-cited

10.1093/ofid/ofad233

Identification and diagnosis of long COVID-19: A scoping review

Progress in Biophysics and Molecular Biology(2023)

co-cited

10.1016/j.pbiomolbio.2023.04.008

Post‐acute sequelae of COVID‐19 in solid organ transplant recipients

Transplant Infectious Disease(2023)

co-cited

10.1111/tid.14167

SARS-CoV-2 shedding and evolution in patients who were immunocompromised during the omicron period: a multicentre, prospective analysis

The Lancet Microbe(2024)

co-cited

10.1016/s2666-5247(23)00336-1

The burden of COVID-19 mortality among solid organ transplant recipients in the United States

N/A

0.330DataRank · unranked

American Journal of Transplantation(2024)

co-cited

10.1016/j.ajt.2024.10.004

The prevalence of postacute sequelae of coronavirus disease 2019 in solid organ transplant recipients: Evaluation of risk in the National COVID Cohort Collaborative

Top 47%

0.382DataRank

American Journal of Transplantation(2024)

co-cited

10.1016/j.ajt.2024.06.001

Prevalence and characteristics of long COVID in elderly patients: An observational cohort study of over 2 million adults in the US

FAIR Checklist

Authors (5)

Funding (1 grants)

Impact

Open Access

Topics

Linked Datasets (25)

Annotations (Europe PMC)

Related Papers (10)