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

Clinical correlation of SARS-CoV-2 wastewater passive sampling in long-term care facilities and wastewater treatment plants

Environmental Advances(2025)10.1016/j.envadv.2025.100635Source: DataRank Database

Clinical correlation of SARS-CoV-2 wastewater passive sampling in long-term care facilities and wastewater treatment plants is a research paper published in Environmental Advances (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Download PDF

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 (7 grants)Impact (FWCI 0.77)OA: goldTopics (28)IDs (PubMed, PMC, OpenAlex)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 (10)

Alexus Rockward,Blazan Mijatovic ORCID,Ann Noble ORCID,Cullen Olsson ORCID,Soroosh Torabi ORCID

Live enrichment

PubMed:40641522 PMC:PMC12245160 OpenAlex:https://openalex.org/W4409598855

Centers for Disease Control and Prevention

Grant: BAA 75D301-20-R-68024

National Institutes of Health

Grant: 1U01DA053903-01

Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology

National Institutes of Health

Grant: P30 ES026529

National Science Foundation

Grant: 2154934

PIPP Phase I: Advancing Environmental Surveillance for Pandemic Prediction in Remote and Resource Poor Settings

National Science Foundation

Grant: 2412446

PIPP Phase II: Environmental Surveillance for Assessing Pathogen Emergence (ESCAPE)

NIDA NIH HHS

Grant: U01 DA053903

National Institutes of Health

Grant: 5P30ES026529-03

Center for Appalachian Research in Environmental Sciences

FWCI

0.77

Citation Percentile

0.7%

Citation Trend

2026

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.envadv.2025.100635

GOLDhttps://doi.org/10.1016/j.envadv.2025.100635

publisherhttps://doi.org/10.1016/j.envadv.2025.100635

publisherhttps://api.elsevier.com/content/article/PII:S2666765725000274?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666765725000274?httpAccept=text/plain

Fields of Study

SARS-CoV-2 detection and testingBiosensors and Analytical DetectionMicrowave Imaging and Scattering AnalysisMedicineEnvironmental Science

Keywords

WastewaterSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Sampling (signal processing)Coronavirus disease 2019 (COVID-19)Term (time)Environmental science2019-20 coronavirus outbreakMedicineEnvironmental engineeringVirologyComputer scienceInternal medicineTelecommunicationsDiseasePassive SamplingClinical CorrelationLong-term Care FacilitiesWastewater-based Epidemiology (Wbe)Sars-cov-2Moore SwabEnvironmental sciencesGE1-350Article

Sustainable Development Goals

SDG 0: Clean water and sanitation