Single-cell multiregion dissection of Alzheimer’s disease is a dataset published in Nature (2024). On theSindex it has a DataRank of 4.0, placing it in the top 5.6% of the data-sharing corpus. It has been cited 281 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 33/100.
Ranks in the top 6% for downstream scientific impact
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.
“We provide an interactive website for exploring the atlas and these annotations, markers, functional modules and differences in AD at both the single-cell and pseudo-bulk levels ( http://compbio.mit.edu/ad_multiregion ).”
The only identifier for the dataset is a web URL, which is not a persistent identifier scheme. [majority verdict 'partial' (4/5 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'
“We provide an interactive website for exploring the atlas and these annotations, markers, functional modules and differences in AD at both the single-cell and pseudo-bulk levels ( http://compbio.mit.edu/ad_multiregion ).”
The named host is a lab website (compbio.mit.edu), not a curated repository. [majority verdict 'partial' (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
The dataset identifier (URL) appears only in the body text, not in the reference list. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (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
No data-availability statement is present in the provided text.
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
“we report a single-cell transcriptomic atlas of six different brain regions in the aged human brain, covering 1.3 million cells from 283 post-mortem human brain samples across 48 individuals with and without Alzheimer’s disease.”
The dataset content is described in running prose, not as an itemised inventory. [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'
“We provide an interactive website for exploring the atlas and these annotations, markers, functional modules and differences in AD at both the single-cell and pseudo-bulk levels ( http://compbio.mit.edu/ad_multiregion ).”
The paper gives a website URL for the data with no stated precondition. [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
The paper provides a website URL for exploring the data, but does not explicitly label the access level. [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 paper does not name any gatekeeper for the 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
No sentence addresses when the data are available or how long they persist.
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'
No file format is named 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 data or metadata community standard is named.
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'
The paper references external datasets with URLs, which count as qualified references. [downgraded to 'no' — no verifiable quote from the paper] [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'
No license is stated for the data; the article's CC BY license does not apply to 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 given for the dataset.
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'
No code locator is provided 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)
No funding information is included in the provided text.
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
“Cell Ranger software (v.3.0.2)”
The paper names specific software (Cell Ranger v3.0.2) used to produce the data. [majority verdict 'yes' (4/5 passes agreed)]
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, codebook) is mentioned as accompanying the data. [majority verdict 'no' (4/5 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
0.846
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.
Swiss National Science Foundation
Grant: 151885
Mechanism underlying histone deacetylase 2 (HDAC2)-mediated cognitive decline in neurodegenerative disorder
NIGMS NIH HHS
Grant: T32 GM087237
NIA NIH HHS
Grant: R01 AG017917
NIA NIH HHS
Grant: RF1 AG062377
NIMH NIH HHS
Grant: U01 MH119509
NIA NIH HHS
Grant: R01 AG062335
NHGRI NIH HHS
Grant: R01 HG008155
NIA NIH HHS
Grant: RF1 AG054321
NIA NIH HHS
Grant: R01 AG015819
NINDS NIH HHS
Grant: U01 NS110453
NIA NIH HHS
Grant: P30 AG010161
NIA NIH HHS
Grant: R01 AG058002
NINDS NIH HHS
Grant: R01 NS127187
NINDS NIH HHS
Grant: UH3 NS115064
NIA NIH HHS
Grant: RF1 AG054012
NIA NIH HHS
Grant: U01 AG046152
NINDS NIH HHS
Grant: UG3 NS115064
NIA NIH HHS
Grant: P30 AG072975
NIA NIH HHS
Grant: R01 AG074003
NIA NIH HHS
Grant: U01 AG061356
National Institutes of Health
Grant: 1RF1AG062377-01
Dissection of endosomal trafficking mechanisms in Alzheimer's Disease
Swiss National Science Foundation
Grant: 46152
The wavelet transform technique in chemometrics.
National Institutes of Health
Grant: 1RF1AG054321-01
Demystifying Microglia in Aging and Alzheimer's Disease
National Institutes of Health
Grant: 1P30AG010161-01
SHORT-TERM STABILITY OF CLINICAL TESTS
National Institutes of Health
Grant: 5R01AG017917-20
Epidemiologic Study of Neural Reserve and Neurobiology of Aging
National Institutes of Health
Grant: 3U01AG061356-02S1
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targets
Swiss National Science Foundation
Grant: 61356
Les rites de purification à l'époque d'Amarna.
National Institutes of Health
Grant: 7U01AG046152-05
Pathway discovery, validation and compound identification for Alzheimer's disease
National Institutes of Health
Grant: 5P30AG072975-02
Rush Alzheimer's Disease Research Center
National Institutes of Health
Grant: 5R01AG015819-07
Risk Factors, Pathology, and Clinical Expressions of AD
Fields of Study
MeSH Terms
Keywords