Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19 is a dataset published in Genome Medicine (2021). On theSindex it has a DataRank of 3.8, placing it in the top 5.9% of the data-sharing corpus. It has been cited 116 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 79/100.
Ranks in the top 6% 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.
“GSE164485”
The dataset is identified by the GEO accession GSE164485, which is a persistent identifier scheme accepted by the rubric.
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'
“NCBI GEO”
The paper names NCBI GEO as the repository holding the data.
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
“Fullard JF, Lee H-C, Voloudakis G, Suo S, Javidfar B, Zhiping Shao Z, Peter C, Zhang W, Jiang S, Corvelo A, Wargnier H, Woodoff-Leith E, Purohit DP, Ahuja S, Tsankova NM, Jette N, Hoffman GE, Akbarian S, Fowkes M, Crary JF, Yuan G-C, Roussos P: The landscape of human brain immune response in patients with severe COVID-19. Gene Expression Omnibus. 2021. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164485.”— not found in the paper; verdict downgraded
The dataset appears as a full bibliographic entry in the reference list, with a persistent identifier and repository name. [downgraded to 'partial' — no verifiable quote from the paper]
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
“Processed and raw data can be downloaded from NCBI GEO (GSE164485) [41]: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164485.”
The data availability statement explicitly names a repository (NCBI GEO) and provides a persistent accession (GSE164485), fulfilling the criteria for a repository record. [majority verdict 'yes' (4/5 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
“Processed and raw data can be downloaded from NCBI GEO (GSE164485) [41].”— not found in the paper; verdict downgraded
The dataset content is stated in running prose only, not in an itemized inventory. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (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'
“Processed and raw data can be downloaded from NCBI GEO (GSE164485) [41]: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164485.”
The paper gives a direct download link to a public repository with no stated precondition, fee, registration, or embargo. [majority verdict 'yes' (4/5 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
“Processed and raw data can be downloaded from NCBI GEO (GSE164485) [41]: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164485.”
The paper describes the action of downloading the data from GEO but does not state an explicit access-level label such as 'open access' or 'publicly available'.
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
“Processed and raw data can be downloaded from NCBI GEO (GSE164485) [41]: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164485.”
The data are deposited in a public repository (GEO) with no mention of controlled access, a Data Access Committee, or any institutional gatekeeper, and the paper does not indicate the data are sensitive or require restricted access.
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
No statement about retention or availability timing. [majority verdict 'no' (3/5 passes agreed)]
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 file format for the released data.
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
No community-standard metadata checklist, ontology, or schema (e.g., MIAME, MINSEQE, GO) is named for the data. The paper uses standard bioinformatics terms but not an explicit community standard.
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'
No identifier for any external resource (e.g., reference genome build, database accession) is provided. [majority verdict 'no' (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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.”
The paper explicitly states that CC0 (Public Domain Dedication) applies to the data, which is an open standard license. [majority verdict 'yes' (3/5 passes agreed)]
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'
The paper does not provide a version token, release number, or date for the deposited data. The GEO accession GSE164485 does not include a version suffix.
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'
“Scripts used in this study are available on GitHub [42]: https://github.com/howchihlee/covid_brain_sc.”— not found in the paper; verdict downgraded
The paper provides a machine-resolvable URL to the study's code repository on GitHub. [downgraded to 'partial' — no verifiable quote from the paper]
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)
“Supported by the National Institute on Aging, NIH grants R01-AG067025 (to P.R.) and R01-AG065582 (to P.R.) and Mount Sinai COVID-19 seed fund 0285VV12 (to S.A.).”
The paper attaches specific grant numbers (R01-AG067025, R01-AG065582, 0285VV12) to named funders (NIH, Mount Sinai).
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
“10x Genomics paired-end sequencing reads were processed and aligned on a pre-mRNA reference genome using cell ranger v3.1.0.”
The paper names specific instruments and software versions (cell ranger v3.1.0, Illumina NovaSeq 6000) used to generate 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
The paper does not mention any documentation object (README, data dictionary, codebook) that travels with the data, and the variable definitions are not provided in an article table or appendix beyond the supplementary methods, which describe processing rather than define the dataset's fields.
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
0.714
From this paper's citation signal
Citation Network Contribution
3.1
From 100 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
National Institute on Aging
Grant: R01-AG067025
National Institute on Aging
Grant: R01-AG065582
Mount Sinai COVID-19 seed fund
Grant: 0285VV12
NIA NIH HHS
Grant: R01 AG065582
NIH HHS
Grant: S10 OD026880
NIA NIH HHS
Grant: R01 AG067025
NIDA NIH HHS
Grant: RF1 DA048810
NINDS NIH HHS
Grant: R01 NS106229
National Institutes of Health
Grant: 5R01AG067025-04
Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer Disease
National Institutes of Health
Grant: 5R01AG065582-04
Understanding the protective and neuroinflammatory role of human brain immune cells in Alzheimer Disease
FWCI
10.54
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 2 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 2 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 1 of SARS-CoV-2 infects epithelial cells of the blood-cerebrospinal fluid barrier rather than endothelial cells or pericytes of the blood-brain barrier
Additional file 1 of SARS-CoV-2 infects epithelial cells of the blood-cerebrospinal fluid barrier rather than endothelial cells or pericytes of the blood-brain barrier
Additional file 8 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 7 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 4 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 5 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 9 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 6 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 3 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 5 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 8 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 3 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 4 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 9 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 1 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 1 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 6 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19
Additional file 7 of Single-nucleus transcriptome analysis of human brain immune response in patients with severe COVID-19