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.

Separation of major prostaglandins, leukotrienes, and monoHETEs by high performance liquid chromatography

Journal of Immunological Methods(1983)10.1016/0022-1759(83)90441-6Source: DataRank Database

Separation of major prostaglandins, leukotrienes, and monoHETEs by high performance liquid chromatography is a research paper published in Journal of Immunological Methods (1983). On theSindex it has a DataRank of 4.6. It has been cited 61 times, with 52 citing works in its 1-hop citation network.

N/A

4.6DataRank · unranked

4.6

61 citations · base score 4.1

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 13%Citation Network 87%

Base Score Contribution

0.619

From this paper's citation signal

Citation Network Contribution

4.0

From 47 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.

Recombinant interleukin-1? interacts with high-affinity receptors to activate neutrophil leukotriene B4 synthesis
Inflammation199026 citationsDataRank 2.1

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 13% comes from its base citations and 87% from the citation network (47 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 →

Click a node to highlight its connections. Use scroll to zoom. Drag to pan.

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

Authors (5)

Edward S. Schulman,Mark C. Liu,Edward C. Hayes,Lawrence M. Lichtenstein,Stephen P. Peters

Related Papers (1)

A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION

N/A

1.6DataRank · unranked

Canadian Journal of Biochemistry and Physiology(1959)

co-cited

10.1139/o59-099