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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.

Regulation of Tomato golden mosaic virus AL2 and AL3 gene expression by a conserved upstream open reading frame

Virology(2009)10.1016/j.virol.2008.10.020Source: DataRank Database

Regulation of Tomato golden mosaic virus AL2 and AL3 gene expression by a conserved upstream open reading frame is a research paper published in Virology (2009). On theSindex it has a DataRank of 0.897. It has been cited 13 times, with 12 citing works in its 1-hop citation network.

N/A
0.897DataRank · unranked
0.897
13 citations · base score 2.6
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.

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        DataRank Breakdown

        Base Score 44%Citation Network 56%

        Base Score Contribution

        0.396

        From this paper's citation signal

        Citation Network Contribution

        0.501

        From 12 citing papers with measurable signal

        Learn more about DataRank methodology →

        Top 2 citers driving the network score

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

        1. Compilation and analysis of sequences upstream from the translational start site in eukaryotic mRNAs
          Nucleic Acids Research19843,332 citationsDataRank 29.2
        2. Negative and Translation Termination-Dependent Positive Control of FLI-1 Protein Synthesis by Conserved Overlapping 5′ Upstream Open Reading Frames in Fli-1 mRNA
          Molecular and Cellular Biology200045 citationsDataRank 2.8
        Why this DataRank?

        DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 44% comes from its base citations and 56% from the citation network (12 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(Cq) ÷ max(outdegreeq, 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

        Authors (2)

        Garry Sunter,Chia-Yi Shung