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A metadata-driven approach to data repository design

Overview of attention for article published in Journal of Cheminformatics, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
2 blogs
twitter
9 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
73 Mendeley
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Title
A metadata-driven approach to data repository design
Published in
Journal of Cheminformatics, January 2017
DOI 10.1186/s13321-017-0190-6
Pubmed ID
Authors

Matthew J. Harvey, Andrew McLean, Henry S. Rzepa

Abstract

The design and use of a metadata-driven data repository for research data management is described. Metadata is collected automatically during the submission process whenever possible and is registered with DataCite in accordance with their current metadata schema, in exchange for a persistent digital object identifier. Two examples of data preview are illustrated, including the demonstration of a method for integration with commercial software that confers rich domain-specific data analytics without introducing customisation into the repository itself.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 3%
United Kingdom 1 1%
Brazil 1 1%
Unknown 69 95%

Demographic breakdown

Readers by professional status Count As %
Librarian 13 18%
Researcher 10 14%
Student > Master 8 11%
Other 7 10%
Student > Doctoral Student 5 7%
Other 16 22%
Unknown 14 19%
Readers by discipline Count As %
Computer Science 15 21%
Social Sciences 14 19%
Agricultural and Biological Sciences 6 8%
Biochemistry, Genetics and Molecular Biology 5 7%
Arts and Humanities 4 5%
Other 12 16%
Unknown 17 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2022.
All research outputs
#1,790,779
of 24,901,761 outputs
Outputs from Journal of Cheminformatics
#141
of 934 outputs
Outputs of similar age
#37,368
of 429,532 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 21 outputs
Altmetric has tracked 24,901,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 429,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.