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Cinfony – combining Open Source cheminformatics toolkits behind a common interface

Overview of attention for article published in Chemistry Central Journal, December 2008
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 560)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
3 blogs
twitter
2 tweeters
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
92 Mendeley
citeulike
5 CiteULike
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Title
Cinfony – combining Open Source cheminformatics toolkits behind a common interface
Published in
Chemistry Central Journal, December 2008
DOI 10.1186/1752-153x-2-24
Pubmed ID
Authors

Noel M O'Boyle, Geoffrey R Hutchison

Abstract

Open Source cheminformatics toolkits such as OpenBabel, the CDK and the RDKit share the same core functionality but support different sets of file formats and forcefields, and calculate different fingerprints and descriptors. Despite their complementary features, using these toolkits in the same program is difficult as they are implemented in different languages (C++ versus Java), have different underlying chemical models and have different application programming interfaces (APIs).

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Germany 3 3%
Austria 1 1%
Netherlands 1 1%
Ireland 1 1%
Cyprus 1 1%
India 1 1%
Canada 1 1%
China 1 1%
Other 3 3%
Unknown 75 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 33%
Researcher 29 32%
Professor > Associate Professor 7 8%
Student > Bachelor 5 5%
Other 5 5%
Other 12 13%
Unknown 4 4%
Readers by discipline Count As %
Chemistry 27 29%
Computer Science 20 22%
Agricultural and Biological Sciences 17 18%
Engineering 7 8%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 12 13%
Unknown 4 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 15 May 2015.
All research outputs
#524,021
of 12,011,028 outputs
Outputs from Chemistry Central Journal
#11
of 560 outputs
Outputs of similar age
#511,950
of 11,362,354 outputs
Outputs of similar age from Chemistry Central Journal
#11
of 562 outputs
Altmetric has tracked 12,011,028 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 560 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 98% 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 11,362,354 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 95% of its contemporaries.
We're also able to compare this research output to 562 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.