MIPS: curated databases and comprehensive secondary data resources in 2010 is a dataset published in Nucleic Acids Research (2010). On theSindex it has a DataRank of 0.697, placing it in the top 28.7% of the data-sharing corpus. It has been cited 103 times. Its calibrated FAIR score is 38/100.
Ranks in the top 29% 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
This score predates the current agent — it came from the earlier rubric, which blended repository metadata into the number and asked the model for a rating rather than an evidenced verdict. Re-evaluate the paper to score it against the current standards-anchored criteria, where every verdict is backed by a quote from the full text.
DOI present
datacite=0, pmcid=True, pmid=True
no OpenAlex id
The paper does not provide any machine-readable metadata (e.g., structured metadata in standard schemas) either in the text or through reference to a metadata record, and describes databases accessible via web pages without FAIR metadata distribution.
Open Access
0 OA location(s)
The paper lists URLs for each database and mentions web services (e.g., BioMOBY, SIMAP Web-Services) but does not specify standard access protocols, authentication requirements, or provide a clear, unambiguous protocol for programmatic access to data/code.
linked_datasets=0, datacite=0
accessions=0, trials=0
The paper uses standard identifiers (e.g., Gene Ontology, EC numbers, RefSeq), standard formats are implied (e.g., sequence similarity, relations), and references standards like GO, KEGG, IntAct, but does not explicitly state adherence to machine-readable standard formats (e.g., RDF, JSON-LD) or vocabularies for all resources.
no license
downloads=0
no version chain
is_dataset
The paper states a Creative Commons Attribution Non-Commercial License (CC BY-NC 2.5) for the article, but does not provide a clear data-availability statement for the databases themselves, lacks explicit code or data licensing, and does not describe reproducibility procedures beyond mentioning web access and service availability.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.697
From this paper's citation signal
Citation Network Contribution
0
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 →FWCI
3.49
Citation Percentile
0.9%
Influential Citations
7
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 1 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 2 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 2 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 3 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 3 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 1 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 1 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 2 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 2 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 3 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 3 of LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules
Additional file 1 of De novo missense variants disrupting protein–protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types
Additional file 1 of De novo missense variants disrupting protein–protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types