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.

Diagnostics for Amyloid Fibril Formation: Where to Begin?

Methods in Molecular Biology(2011)10.1007/978-1-60327-223-0_8Source: DataRank Database

Diagnostics for Amyloid Fibril Formation: Where to Begin? is a research paper published in Methods in Molecular Biology (2011). On theSindex it has a DataRank of 0.790. It has been cited 9 times, with 9 citing works in its 1-hop citation network.

N/A

0.790DataRank · unranked

0.790

9 citations · base score 2.3

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.

Run a calibrated FAIR evaluation for this paper →

DataRank Breakdown

Base Score 44%Citation Network 56%

Base Score Contribution

0.345

From this paper's citation signal

Citation Network Contribution

0.445

From 9 citing papers with measurable signal

Learn more about DataRank methodology →

Top 3 citers driving the network score

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

PROTEIN MEASUREMENT WITH THE FOLIN PHENOL REAGENT
Journal of Biological Chemistry1951317,649 citationsDataRank 1.9
A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding
Analytical Biochemistry1976209,778 citationsDataRank 1.8
Measurement of protein using bicinchoninic acid
Analytical Biochemistry198518,305 citationsDataRank 1.5

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 44% comes from its base citations and 56% from the citation network (9 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