Transcriptomic analysis of skeletal muscle regeneration across mouse lifespan identifies altered stem cell states is a dataset published in Nature Aging (2024). On theSindex it has a DataRank of 0.857, placing it in the top 23.5% of the data-sharing corpus. It has been cited 44 times, with 42 citing works in its 1-hop citation network. Its calibrated FAIR score is 67/100.
Ranks in the top 23% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
“10.5061/dryad.kkwh70sbv”
The paper provides a DOI for the processed data objects on Dryad, which is a persistent identifier scheme. [majority verdict 'yes' (3/5 passes agreed)]
RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit · RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier' · FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'
“Newly collected scRNA-seq data from young (4.7 mo; days 1 and 3.5) and geriatric (26 mo) mice are deposited in the GEO under accession GSE232106”
The paper names GEO (Gene Expression Omnibus) and Dryad as repositories holding the data. [majority verdict 'yes' (3/5 passes agreed)]
RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed ( · NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived · NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten
“Newly collected scRNA-seq data from young (4.7 mo; days 1 and 3.5) and geriatric (26 mo) mice are deposited in the GEO under accession GSE232106”
The dataset identifiers (GEO accessions, Dryad DOI) appear in the body text (Data Availability section) but not as a separate reference-list entry. [majority verdict 'partial' (3/5 passes agreed)]
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
“A complete list of metadata and Gene Expression Omnibus (GEO) accessions for the scRNA-seq data can be found in Supplementary Table 1 . Previously published scRNA-seq data are deposited in the GEO under accessions GSE143437 , GSE159500 and GSE162172 . Newly collected scRNA-seq data from young (4.7 mo; days 1 and 3.5) and geriatric (26 mo) mice are deposited in the GEO under accession GSE232106 . Newly collected Curio Seeker spatial transcriptomics data from young (4 mo) and geriatric (26 mo) mice are deposited in GEO under accession GSE266933 . Fully processed Seurat objects for the final dataset (Fig. 1 ) and the myogenic subset (Figs. 4 and 5 ) and the fully processed Scanpy objects for the young and geriatric spatial transcriptomics data (Fig. 7 ) are available for download on Dryad (10.5061/dryad.kkwh70sbv).”
The data availability statement points to repository records with accessions and a DOI, which is Colavizza category 3. [majority verdict 'yes' (3/5 passes agreed)]
Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li · Springer Nature research data policy — Data Availability Statements: standard statement templat · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes
“A complete list of metadata and Gene Expression Omnibus (GEO) accessions for the scRNA-seq data can be found in Supplementary Table 1.”— not found in the paper; verdict downgraded
Supplementary Table 1 is an itemised inventory (list) of the samples, qualifying as a structural artefact. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential) · FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability' · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'
“Newly collected scRNA-seq data from young (4.7 mo; days 1 and 3.5) and geriatric (26 mo) mice are deposited in the GEO under accession GSE232106”
The data are deposited in public repositories (GEO, Dryad) with no stated precondition such as an embargo, registration, or application requirement. [majority verdict 'yes' (3/5 passes agreed)]
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“Fully processed Seurat objects for the final dataset (Fig. 1) and the myogenic subset (Figs. 4 and 5) and the fully processed Scanpy objects for the young and geriatric spatial transcriptomics data (Fig. 7) are available for download on Dryad (10.5061/dryad.kkwh70sbv).”— not found in the paper; verdict downgraded
The text describes an access action (download) but does not label the access level with any standard term. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
The data are from mouse experiments, not human subjects, and no gatekeeper is named. The criterion applies only to sensitive or human-subject data.
NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee · RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and · NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse
The paper does not mention any retention period, permanent archival claim, or availability timing for the data; it only states that the data are deposited.
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
The paper does not name any specific file format for the released data; the raw data are deposited in GEO (typically FASTQ, but not stated) and the processed objects are in Seurat and Scanpy formats (proprietary to the respective software). [downgraded to 'no' — no verifiable quote from the paper]
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
“We refer to the Methods, Fig. 4 and Supplementary Table 2 for more details on these two methods and the gene lists. We note that two of these gene lists are derived from bulk RNA-seq differential expression analyses of p16+ and p16− cells selected based on transgenic reporter status.”— not found in the paper; verdict downgraded
The paper uses Gene Ontology (GO) terms (e.g., GO:Senescence, GO:SASP) as community-standard vocabularies for senescence scoring. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
“We thank P. Schweitzer and colleagues in the Genomics Facility (Research Resource Identifier RRID: SCR_021727)”
An RRID (SCR_021727) is provided for the Genomics Facility, a resource other than the paper's own dataset. [majority verdict 'yes' (3/5 passes agreed)]
RDA-I3-01M — '(meta)data include references to other (meta)data' · RDA-I3-03M — 'metadata includes qualified references to other metadata' · FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'
The paper does not state a reuse licence for the data; the CC-BY-NC-ND licence applies to the article, not the data.
RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu · RDA-R1.1-02M — 'Metadata refers to a standard reuse licence' · RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'
No version token or date is provided for the dataset; the data are referred to simply by accession numbers or 'the final dataset' without a version or snapshot identifier.
DataCite Metadata Schema 4.6 — the 'Version' property · RDA-R1.2-01M — provenance information (which version was used is provenance) · NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'
“All newly developed code for the scRNA-seq analysis is available on GitHub ( https://github.com/ldwalter/ ). Code related to the spatial transcriptomics analysis is also available on GitHub ( https://github.com/ntekasi/ST_MuSCs/ ).”
The paper provides machine-resolvable GitHub URLs for the study's own code.
NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code' · FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear · FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)
“This work was supported by the US NIH grants R01AG058630 (to B.D.C. and I.D.V.), R01AR081449 (to B.D.C. and I.D.V.), R01AI176681 (to I.D.V.), U54AG079779 (to B.D.C. and J.H.E.), T32HD057854 (to L.D.W.), F30OD032097 (to V.I.M.), R01AI105265 (to B.D.R.) and DP1AR076959 (to J.H.E.)”
The paper lists specific NIH grant numbers (R01AG058630, etc.) attributed to the funding.
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
“scRNA-seq libraries were prepared using the Chromium Single Cell 3′ reagent kit v3 (10x Genomics) following the manufacturer’s protocol”
The paper names specific instruments, kits, and platforms (10x Chromium, NextSeq 500, Curio Seeker) used to produce the data.
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
No documentation object (README, data dictionary) is named as accompanying the data. [majority verdict 'no' (3/5 passes agreed)]
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.571
From this paper's citation signal
Citation Network Contribution
0.286
From 21 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 42 citers.
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01AG058630
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01AR081449
U.S. Department of Health & Human Services | National Institutes of Health
Grant: U54AG07977
U.S. Department of Health & Human Services | National Institutes of Health
Grant: T32HD057854
U.S. Department of Health & Human Services | National Institutes of Health
Grant: F30OD032097
U.S. Department of Health & Human Services | National Institutes of Health
Grant: DP1AR076959
U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health
Grant: R01AI105265
NIAID NIH HHS
Grant: R01 AI176681
NIA NIH HHS
Grant: R56 AG007977
NIA NIH HHS
Grant: U54 AG079779
NIA NIH HHS
Grant: R01 AG007977
NIAID NIH HHS
Grant: R37 AI189855
National Institutes of Health
Grant: 5R01AI176681-02
A spatially resolved molecular atlas of acute viral myocarditis at single-cell resolution
National Institutes of Health
Grant: 5R01AI105265-05
Mechanisms limiting neonatal immunity
National Institutes of Health
Grant: 5R01AG058630-04
Revealing muscle stem cell heterogeneity in mice and humans through deep single-cell analysis
National Institutes of Health
Grant: 5R01AR081449-02
Mapping the non-coding RNA landscape in skeletal muscle health and disease
National Institutes of Health
Grant: 1T32HD057854-01A2
Research and career training in vertebrate developmental genomics
National Institutes of Health
Grant: 1U54AG079779-01
JHU-Mayo-NIA Murine Senescence Mapping Program (JMN-MSMP)
National Institutes of Health
Grant: 2R01AG007977-21A2
A Longitudinal Study of Generations and Mental Health
National Institutes of Health
Grant: 5F30OD032097-04
Regulation of CD8+ T cell exhaustion by let-7/Lin28b in different stages of life
National Institutes of Health
Grant: 5DP1AR076959-02
Biomaterials-directed regenerative immunotherapies
FWCI
8.42
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Transcriptomic analysis of skeletal muscle regeneration across mouse lifespan identifies altered stem cell states