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.

ArchMap: A web-based platform for reference-based analysis of single-cell datasets

(2024)10.21203/rs.3.rs-5110946/v1Source: DataRank Database

ArchMap: A web-based platform for reference-based analysis of single-cell datasets is a research paper (2024). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

N/A

0.104DataRank · unranked

0.104

Open Access1 citations · base score 0.693

Cite:

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

Abstract Leveraging single cell reference atlases to analyse new data has brought about a paradigm shift in single cell data science akin to the first reference genome in genomics. However methods to perform this mapping require computational expertise as well as sometimes considerable compute power, and thus may exclude the researchers from this innovation who may benefit the most from it. ArchMap, a no-code query-to-reference mapping tool, removes this barrier by providing all-in-one automated mapping, cell type annotation, and collaborative features to analyse single-cell datasets from a wide range of integrated, often published, reference atlases and allows extension of atlases with the growing Human Cell Atlas and related efforts. This paves the way for a democratisation of reference mapping capabilities.

›Data sources & pipeline

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Pending

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

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 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.

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 →