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

Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on Reddit during COVID-19: an observational study

PsyArXiv (OSF Preprints)(2020)10.31234/osf.io/xvwcySource: DataRank Database

Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on Reddit during COVID-19: an observational study is a research paper published in PsyArXiv (OSF Preprints) (2020). On theSindex it has a DataRank of 0. It has been cited 39 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access39 citations

Free full text

Cite:

Linked data & code

Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on Reddit during COVID-19. · OSF

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)OA: goldTopics (41)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)Annotations (1)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 (6)

Laurie Rumker ORCID,Tanya Talkar ORCID,John Torous ORCID,Guillermo Cecchi ORCID,Satrajit S. Ghosh ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4237337450

National Institutes of Health

Grant: 5T32DC000038-28

Training for Speech and Hearing Sciences

National Institutes of Health

Grant: 5T32HG002295-23

Training in Bioinformatics and Integrative Genomics

goldLicense: cc-by

https://osf.io/xvwcy/download

https://doi.org/10.31234/osf.io/xvwcy

repositoryhttp://doi.org/10.31234/OSF.IO/XVWCY

repositoryhttps://osf.io/xvwcy

Fields of Study

Mental Health via WritingMisinformation and Its ImpactsDigital Mental Health Interventions02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

Mental healthPandemicSentiment analysisPsychologyAnxietySocial mediaPsychiatryArtificial intelligenceCoronavirus disease 2019 (COVID-19)Computer scienceMedicineWorld Wide WebAdultMaleAdolescentComputer applications to medicine. Medical informaticsPneumonia, ViralR858-859.7Global HealthStress Disorders, Post-TraumaticBetacoronavirusBorderline Personality DisorderHumansPandemicsNatural Language ProcessingOriginal PaperSARS-CoV-2COVID-19Middle AgedSelf-Help GroupsFemalePublic aspects of medicineRA1-1270Coronavirus Infections

Sustainable Development Goals

SDG 3: 3. Good health

Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on Reddit during COVID-19.

10.17605/osf.io/7peyqOSF

Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on Reddit during COVID-19: an observational study

FAIR Checklist

Authors (6)

Funding (2 grants)

Open Access

Topics

Linked Datasets (1)

Annotations (Europe PMC)