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.

Proton affinities of 2-iminoimidazolines with bulky N-alkyl-substituents

International Journal of Mass Spectrometry(2012)10.1016/j.ijms.2012.01.010Source: DataRank Database

Proton affinities of 2-iminoimidazolines with bulky N-alkyl-substituents is a research paper published in International Journal of Mass Spectrometry (2012). On theSindex it has a DataRank of 0.836. It has been cited 14 times, with 14 citing works in its 1-hop citation network.

N/A

0.836DataRank · unranked

0.836

14 citations · base score 2.7

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 (0/2)

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

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DataRank Breakdown

Base Score 49%Citation Network 51%

Base Score Contribution

0.406

From this paper's citation signal

Citation Network Contribution

0.430

From 12 citing papers with measurable signal

Learn more about DataRank methodology →

Top 2 citers driving the network score

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

Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density
Physical review. B, Condensed matter198898,952 citationsDataRank 1.7
Density-functional exchange-energy approximation with correct asymptotic behavior
Physical Review A198853,235 citationsDataRank 1.6

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 49% comes from its base citations and 51% from the citation network (12 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

Authors (3)

Roman A. Kunetskiy,Detlef Schröder,Svetlana M. Polyakova