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.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

Annals of Internal Medicine(2009)10.7326/0003-4819-151-4-200908180-00135Source: DataRank Database

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement is a research paper published in Annals of Internal Medicine (2009). On theSindex it has a DataRank of 1.6. It has been cited 37,707 times.

N/A

1.6DataRank · unranked

1.6

37707 citations · base score 10.5

Cite:

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

Systematic reviews and meta-analyses have become increasinglyimportant in health care. Clinicians readthem to keep up to date with their field (1, 2), and they areoften used as a starting point for developing clinical practiceguidelines. Granting agencies may require a systematicreview to ensure there is justification for further research(3), and some health care journals are moving in this direction(4). As with all research, the value of a systematicreview depends on what was done, what was found, andthe clarity of reporting. As with other publications, thereporting quality of systematic reviews varies, limitingreaders’ ability to assess the strengths and weaknesses ofthose reviews.

›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 100%Citation Network 0%

Base Score Contribution

1.6

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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 100% comes from its base citations and 0% from the citation network.

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 →