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.

The pipeline project: Pre-publication independent replications of a single laboratory's research pipeline

Journal of Experimental Social Psychology(2016)10.1016/j.jesp.2015.10.001Source: DataRank Database

The pipeline project: Pre-publication independent replications of a single laboratory's research pipeline is a research paper published in Journal of Experimental Social Psychology (2016). On theSindex it has a DataRank of 4.2. It has been cited 119 times, with 90 citing works in its 1-hop citation network.

N/A

4.2DataRank · unranked

4.2

Open Access119 citations · base score 4.8

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 (1/2)

Open Access

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 17%Citation Network 83%

Base Score Contribution

0.718

From this paper's citation signal

Citation Network Contribution

3.4

From 76 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

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

The weirdest people in the world?
Behavioral and Brain Sciences201011,778 citationsDataRank 1.4
Why Most Published Research Findings Are False
PLoS Medicine200510,409 citationsDataRank 1.4
Raise standards for preclinical cancer research
Nature20122,909 citationsDataRank 1.2
Scientific Utopia
Perspectives on Psychological Science20121,330 citationsDataRank 1.1
An exploratory test for an excess of significant findings
Clinical Trials2007783 citationsDataRank 1.00

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 17% comes from its base citations and 83% from the citation network (76 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