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.

Studies on tolerance. I. The role of the interval between doses on the development of tolerance to morphine.

The Journal of Pharmacology and Experimental Therapeutics(1976)10.1016/s0022-3565(25)30415-5Source: DataRank Database

Studies on tolerance. I. The role of the interval between doses on the development of tolerance to morphine. is a research paper published in The Journal of Pharmacology and Experimental Therapeutics (1976). On theSindex it has a DataRank of 2.9. It has been cited 31 times, with 31 citing works in its 1-hop citation network.

N/A

2.9DataRank · unranked

2.9

31 citations · base score 3.5

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 18%Citation Network 82%

Base Score Contribution

0.520

From this paper's citation signal

Citation Network Contribution

2.3

From 31 citing papers with measurable signal

Learn more about DataRank methodology →

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 18% comes from its base citations and 82% from the citation network (31 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.

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

Authors (3)

R Grell,J Cochin,B E Mushlin