Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

The Hepatitis C Virus Alternate Reading Frame (ARF) and Its Family of Novel Products: The Alternate Reading Frame Protein/F-Protein, the Double-Frameshift Protein, and Others

Seminars in Liver Disease(2005)10.1055/s-2005-864786Source: DataRank Database

The Hepatitis C Virus Alternate Reading Frame (ARF) and Its Family of Novel Products: The Alternate Reading Frame Protein/F-Protein, the Double-Frameshift Protein, and Others is a research paper published in Seminars in Liver Disease (2005). On theSindex it has a DataRank of 4.8. It has been cited 128 times, with 124 citing works in its 1-hop citation network.

N/A

4.8DataRank · unranked

4.8

128 citations · base score 4.9

Cite:

datarank_citation_only_1hop_v6· scope data_onlyMethodology

›Data sources & pipeline

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Pending

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

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 →

DataRank Breakdown

Base Score 15%Citation Network 85%

Base Score Contribution

0.729

From this paper's citation signal

Citation Network Contribution

4.0

From 98 citing papers with measurable signal

Learn more about DataRank methodology →

Top 1 citer driving the network score

Ranked by citation count — the same ordering the engine uses when summing log1p(C_q) over citers.

HCV Molecular Virology and Animal Models
Topics in Medicinal Chemistry20193 citationsDataRank 0.362

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 15% comes from its base citations and 85% from the citation network (98 citing papers contributed measurable signal).

Base score B(p): log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
Network N(p): Σ over citers of log1p(C_q) ÷ max(outdegree_q, 1). Being cited by a highly-cited paper with few references counts most.
Damping factor d = 0.85: DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
Self-citations excluded: Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.

Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.

Read the full methodology →

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Node colors:CenterData PaperData + Open AccessNon-dataSelected & links| Node size = percentile rank