🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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

Machine learning-based approach for automated classification of cell and extracellular matrix using nanomechanical properties

Materials Today Bio(2024)10.1016/j.mtbio.2024.100970Source: DataRank Database

Machine learning-based approach for automated classification of cell and extracellular matrix using nanomechanical properties is a research paper published in Materials Today Bio (2024). On theSindex it has a DataRank of 0.269. It has been cited 5 times.

N/A

0.269DataRank · unranked

Scored on demand from live citation data

Open Access5 citations

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 (8 grants)OA: goldTopics (8)IDs (PubMed, PMC)

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.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.269

From this paper's citation signal

Citation Network Contribution

0

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (5)

O R Robinson ORCID,Ayan Dutta ORCID,Debabrata Mukhopadhyay ORCID,Santanu Bhattacharya ORCID,Tanmay Kulkarni ORCID

Live enrichment

PubMed:38312803 PMC:PMC10835007

National Heart, Lung, and Blood Institute

Grant: HL140411

National Heart, Lung, and Blood Institute

Grant: 140411

Florida Department of Health

Grant: 3J

Florida Department of Health

Grant: 20K02

NIH

Grant: CA150190

NIH

Grant: CA78383

NIH

Grant: NS129671-01

Fifth District Eagles Cancer Telethon

goldLicense: cc-by-nc-nd

GOLDhttps://doi.org/10.1016/j.mtbio.2024.100970

publisherhttps://doi.org/10.1016/j.mtbio.2024.100970

publisherhttps://api.elsevier.com/content/article/PII:S2590006424000292?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2590006424000292?httpAccept=text/plain

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10835007/pdf/main.pdf

Fields of Study

MedicineEngineering

Keywords

Extracellular matrixPancreatic cancerfibrosisMachine Learningsupport vector machinesNanomechanical Attributes