The ChEMBL database as linked open data

Overview of attention for article published in Journal of Cheminformatics, May 2013
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About this score

  • In the top 5% of all articles scored by Altmetric
  • One of the highest-scoring articles from this source (#7 of 221)
  • High score compared to articles of the same age (96th percentile)
  • High score compared to articles of the same age and source (90th percentile)

Mentioned by

blogs
3 blogs
twitter
28 tweeters
peer_reviews
1 peer review site
googleplus
2 Google+ users

Readers on

mendeley
43 Mendeley
citeulike
4 CiteULike
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Article title
The ChEMBL database as linked open data
Published in
Journal of Cheminformatics, May 2013
DOI 10.1186/1758-2946-5-23
Pubmed ID
Authors

Egon L Willighagen, Andra Waagmeester, Ola Spjuth, Peter Ansell, Antony J Williams, Valery Tkachenko, Janna Hastings, Bin Chen, David J Wild

Abstract

Making data available as Linked Data using Resource Description Framework (RDF) promotes integration with other web resources. RDF documents can natively link to related data, and others can link back using Uniform Resource Identifiers (URIs). RDF makes the data machine-readable and uses extensible vocabularies for additional information, making it easier to scale up inference and data analysis.

Twitter Demographics

The data shown below were collected from the profiles of 28 tweeters who shared this article. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this article. Click here to see the article's page on the Mendeley website.

Geographical breakdown

Country Count As %
Netherlands 2 5%
Brazil 2 5%
United States 2 5%
China 1 2%
Japan 1 2%
United Kingdom 1 2%
Germany 1 2%
Austria 1 2%
Canada 1 2%
Other 0 0%
Unknown 31 72%

Demographic breakdown

Readers by professional status Count As %
Student (Master) 9 21%
Post Doc 6 14%
Student (Postgraduate) 5 12%
Ph.D. Student 5 12%
Other Professional 4 9%
Other 14 33%
Readers by discipline Count As %
Biological Sciences 18 42%
Computer and Information Science 12 28%
Chemistry 9 21%
Medicine 3 7%
Materials Science 1 2%
Other 0 0%

Score in context

This article has an Altmetric score of 37.65. This is our high-level measure of the quality and quantity of online attention that this article has received. This score was calculated when the article was last mentioned on 17 April 2015.
All articles
#70,868
of 3,753,922 articles
Articles in Journal of Cheminformatics
#7
of 221 articles
Articles of similar age
#2,822
of 85,420 articles
Articles of similar age in Journal of Cheminformatics
#1
of 11 articles
Altmetric has tracked 3,753,922 articles across all sources so far. Compared to these this article has done particularly well and is in the 98th percentile: it's in the top 5% of all articles ever tracked by Altmetric.
So far Altmetric has tracked 221 articles from this source. They typically receive a little more attention than average, with a mean score of 7.1. This article has done particularly well, scoring higher than 96% of its peers.
Older articles will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this score to the 85,420 tracked articles that were published within six weeks on either side of this one in any source. This article has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this article to 11 articles from the same source and published within six weeks on either side of this one. This article has done particularly well, scoring higher than 90% of its contemporaries.