Studying the Elusive Environment in Large Scale
Studying the Elusive Environment in Large Scale is a research paper published in JAMA (2014). On theSindex it has a DataRank of 3.0. It has been cited 131 times, with 74 citing works in its 1-hop citation network.
Abstract
It is possible that more than 50% of complex disease risk is attributed to differences in an individual’s environment.1 Air pollution, smoking, and diet are documented environmental factors affecting health, yet these factors are but a fraction of the “exposome,” the totality of the exposure load occurring throughout a person’s lifetime.1 Investigating one or a handful of exposures at a time has led to a highly fragmented literature of epidemiologic associations. Much of that literature is not reproducible, and selective reporting may be a major reason for the lack of reproducibility. A new model is required to discover environmental exposures associated with disease while mitigating possibilities of selective reporting.
›Data sources & pipeline
FAIR Checklist
Context only (not used in score)- Has DOI
- Open Access
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Score Contribution
0.732
From this paper's citation signal
Citation Network Contribution
2.3
From 59 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.
- Beyond genomics: understanding exposotypes through metabolomicsHuman Genomics2018103 citationsDataRank 0.697
- Perspective: Limiting Dependence on Nonrandomized Studies and Improving Randomized Trials in Human Nutrition Research: Why and HowAdvances in Nutrition2018102 citationsDataRank 4.0
- The Complexities of Evaluating the Exposome in Psychiatry: A Data-Driven Illustration of Challenges and Some Propositions for AmendmentsSchizophrenia Bulletin201865 citationsDataRank 0.628
- Field-wide meta-analyses of observational associations can map selective availability of risk factors and the impact of model specificationsJournal of Clinical Epidemiology201637 citationsDataRank 1.6
- Systematic identification of correlates of HIV infectionAIDS201820 citationsDataRank 0.457
Why this DataRank?
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 24% comes from its base citations and 76% from the citation network (59 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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