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Standards-based curation of a decade-old digital repository dataset of molecular information

Overview of attention for article published in Journal of Cheminformatics, August 2015
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 blog
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7 X users

Citations

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6 Dimensions

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45 Mendeley
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Title
Standards-based curation of a decade-old digital repository dataset of molecular information
Published in
Journal of Cheminformatics, August 2015
DOI 10.1186/s13321-015-0093-3
Pubmed ID
Authors

Matthew J Harvey, Nicholas J Mason, Andrew McLean, Peter Murray-Rust, Henry S Rzepa, James J P Stewart

Abstract

The desirable curation of 158,122 molecular geometries derived from the NCI set of reference molecules together with associated properties computed using the MOPAC semi-empirical quantum mechanical method and originally deposited in 2005 into the Cambridge DSpace repository as a data collection is reported. The procedures involved in the curation included annotation of the original data using new MOPAC methods, updating the syntax of the CML documents used to express the data to ensure schema conformance and adding new metadata describing the entries together with a XML schema transformation to map the metadata schema to that used by the DataCite organisation. We have adopted a granularity model in which a DataCite persistent identifier (DOI) is created for each individual molecule to enable data discovery and data metrics at this level using DataCite tools. We recommend that the future research data management (RDM) of the scientific and chemical data components associated with journal articles (the "supporting information") should be conducted in a manner that facilitates automatic periodic curation. Graphical abstractStandards and metadata-based curation of a decade-old digital repository dataset of molecular information.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Latvia 1 2%
Germany 1 2%
Canada 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Librarian 9 20%
Student > Ph. D. Student 6 13%
Student > Master 3 7%
Student > Postgraduate 3 7%
Other 4 9%
Unknown 10 22%
Readers by discipline Count As %
Computer Science 11 24%
Social Sciences 8 18%
Arts and Humanities 3 7%
Chemistry 3 7%
Chemical Engineering 2 4%
Other 6 13%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 05 January 2016.
All research outputs
#2,650,158
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#260
of 891 outputs
Outputs of similar age
#35,255
of 271,837 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 15 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 70% 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 271,837 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.