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.

Poor Quality of Reporting Confounding Bias in Observational Intervention Studies: A Systematic Review

Annals of Epidemiology(2008)10.1016/j.annepidem.2008.05.007Source: DataRank Database

Poor Quality of Reporting Confounding Bias in Observational Intervention Studies: A Systematic Review is a research paper published in Annals of Epidemiology (2008). On theSindex it has a DataRank of 5.0. It has been cited 95 times, with 80 citing works in its 1-hop citation network.

N/A

5.0DataRank · unranked

5.0

95 citations · base score 4.6

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.

Run a calibrated FAIR evaluation for this paper →

DataRank Breakdown

Base Score 14%Citation Network 86%

Base Score Contribution

0.685

From this paper's citation signal

Citation Network Contribution

4.3

From 71 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.

Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies
BMJ20079,722 citationsDataRank 1.4
The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.
Journal of Epidemiology and Community Health19988,208 citationsDataRank 1.4
Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease
BMC Medical Research Methodology202055 citationsDataRank 1.7
Confounding in publications of observational intervention studies
European Journal of Epidemiology200721 citationsDataRank 1.6
Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease
Research Square (Research Square)20201 citationsDataRank 0.104

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 14% comes from its base citations and 86% from the citation network (71 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