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

Heterogeneous network approaches to protein pathway prediction

Computational and Structural Biotechnology Journal(2024)10.1016/j.csbj.2024.06.022Source: DataRank Database

Heterogeneous network approaches to protein pathway prediction is a research paper published in Computational and Structural Biotechnology Journal (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access8 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 (5 grants)Impact (FWCI 1.31)OA: goldTopics (20)IDs (PubMed, PMC, OpenAlex)

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 (2)

Russ B. Altman ORCID,Gowri Nayar ORCID

Live enrichment

PubMed:39035835 PMC:PMC11260399 OpenAlex:https://openalex.org/W4400077950

NLM NIH HHS

Grant: F31 LM014646

NIGMS NIH HHS

Grant: R35 GM153195

NIH

NLM

Chan Zuckerberg Initiative

FWCI

1.31

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttp://www.csbj.org/article/S2001037024002149/pdf

publisherhttp://www.csbj.org/article/S2001037024002149/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2001037024002149?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2001037024002149?httpAccept=text/plain

publisherhttps://spj.science.org/doi/pdf/10.1016/j.csbj.2024.06.022

Fields of Study

Bioinformatics and Genomic NetworksComputational Drug Discovery MethodsMicrobial Metabolic Engineering and Bioproduction

Keywords

Computer scienceComputational biologyDrug discoveryRepresentation (politics)Heterogeneous networkProcess (computing)Interaction networkMachine learningData scienceBioinformaticsBiologyGeneFunctional proteomicsPathway PredictionEmbeddingsHeterogeneous NetworksProtein Pathways