From Midbody Protein−Protein Interaction Network Construction to Novel Regulators in Cytokinesis
From Midbody Protein−Protein Interaction Network Construction to Novel Regulators in Cytokinesis is a research paper published in Journal of Proteome Research (2009). On theSindex it has a DataRank of 2.1. It has been cited 30 times, with 30 citing works in its 1-hop citation network. Its calibrated FAIR score is 43/100.
›Data sources & pipeline
FAIR Checklist
Context only (not used in score)- Has DOI
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
DataRank Breakdown
Base Score Contribution
0.515
From this paper's citation signal
Citation Network Contribution
1.6
From 26 citing papers with measurable signal
Top 5 citers driving the network score
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
- The midbody interactome reveals unexpected roles for PP1 phosphatases in cytokinesisNature Communications2019128 citationsDataRank 3.1
- Midbodies and phragmoplasts: analogous structures involved in cytokinesisTrends in Cell Biology2005125 citationsDataRank 6.0
- Midbody: from cellular junk to regulator of cell polarity and cell fateCurrent Opinion in Cell Biology201577 citationsDataRank 2.4
- Cytokinesis and cancer: Polo loves ROCK‘n’ Rho(A)Journal of Genetics and Genomics201053 citationsDataRank 2.5
- Septin1, a new interaction partner for human serine/threonine kinase aurora-BBiochemical and Biophysical Research Communications200551 citationsDataRank 2.3
Why this DataRank?
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 25% comes from its base citations and 75% from the citation network (26 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.
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