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.

Centrosome instability: when good centrosomes go bad

Cellular and Molecular Life Sciences(2021)10.1007/s00018-021-03928-1Source: DataRank Database

Centrosome instability: when good centrosomes go bad is a research paper published in Cellular and Molecular Life Sciences (2021). On theSindex it has a DataRank of 0.730. It has been cited 21 times, with 19 citing works in its 1-hop citation network.

N/A

0.730DataRank · unranked

0.730

21 citations · base score 3.1

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 (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

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 64%Citation Network 36%

Base Score Contribution

0.464

From this paper's citation signal

Citation Network Contribution

0.266

From 16 citing papers with measurable signal

Learn more about DataRank methodology →

Top 4 citers driving the network score

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

Pan-cancer analysis of whole genomes
Nature20203,267 citationsDataRank 5.9Top 27%
The Centrosome-Specific Phosphorylation of Cnn by Polo/Plk1 Drives Cnn Scaffold Assembly and Centrosome Maturation
Developmental Cell2014204 citationsDataRank 6.2
A Multicomponent Assembly Pathway Contributes to the Formation of Acentrosomal Microtubule Arrays in Interphase <i>Drosophila</i> Cells
Molecular Biology of the Cell2008140 citationsDataRank 5.6
Centrosome Function: Sometimes Less Is More
Traffic200949 citationsDataRank 2.6

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 64% comes from its base citations and 36% from the citation network (16 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

Authors (2)

Gregory C. RogersORCID,John M. Ryniawec