Diagnostic certainty of idiopathic pulmonary fibrosis/usual interstitial pneumonia: The effect of the integrated clinico-radiological assessment
Diagnostic certainty of idiopathic pulmonary fibrosis/usual interstitial pneumonia: The effect of the integrated clinico-radiological assessment is a research paper published in European Journal of Radiology (2015). On theSindex it has a DataRank of 2.4. It has been cited 34 times, with 31 citing works in its 1-hop citation network.
›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.
DataRank Breakdown
Base Score Contribution
0.533
From this paper's citation signal
Citation Network Contribution
1.9
From 29 citing papers with measurable signal
Top 3 citers driving the network score
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
- An Official ATS/ERS/JRS/ALAT Statement: Idiopathic Pulmonary Fibrosis: Evidence-based Guidelines for Diagnosis and ManagementAmerican Journal of Respiratory and Critical Care Medicine20117,240 citationsDataRank 1.3
- Idiopathic Interstitial Pneumonias: CT FeaturesRadiology2005378 citationsDataRank 16.3
- Biopsy in idiopathic pulmonary fibrosis: back to the futureExpert Review of Respiratory Medicine20173 citationsDataRank 0.255
Why this DataRank?
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 22% comes from its base citations and 78% from the citation network (29 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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