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ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics

Overview of attention for article published in Journal of Cheminformatics, March 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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
googleplus
2 Google+ users

Citations

dimensions_citation
138 Dimensions

Readers on

mendeley
166 Mendeley
citeulike
1 CiteULike
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Title
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
Published in
Journal of Cheminformatics, March 2017
DOI 10.1186/s13321-017-0203-5
Pubmed ID
Authors

Jiangming Sun, Nina Jeliazkova, Vladimir Chupakhin, Jose-Felipe Golib-Dzib, Ola Engkvist, Lars Carlsson, Jörg Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay Kochev, Thomas J. Ashby, Hongming Chen

Abstract

Chemogenomics data generally refers to the activity data of chemical compounds on an array of protein targets and represents an important source of information for building in silico target prediction models. The increasing volume of chemogenomics data offers exciting opportunities to build models based on Big Data. Preparing a high quality data set is a vital step in realizing this goal and this work aims to compile such a comprehensive chemogenomics dataset. This dataset comprises over 70 million SAR data points from publicly available databases (PubChem and ChEMBL) including structure, target information and activity annotations. Our aspiration is to create a useful chemogenomics resource reflecting industry-scale data not only for building predictive models of in silico polypharmacology and off-target effects but also for the validation of cheminformatics approaches in general.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 23%
Student > Master 29 17%
Student > Ph. D. Student 27 16%
Student > Bachelor 13 8%
Other 7 4%
Other 13 8%
Unknown 38 23%
Readers by discipline Count As %
Chemistry 33 20%
Computer Science 22 13%
Biochemistry, Genetics and Molecular Biology 15 9%
Pharmacology, Toxicology and Pharmaceutical Science 14 8%
Agricultural and Biological Sciences 12 7%
Other 22 13%
Unknown 48 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 09 September 2018.
All research outputs
#2,173,685
of 24,261,860 outputs
Outputs from Journal of Cheminformatics
#188
of 893 outputs
Outputs of similar age
#41,623
of 311,780 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 24 outputs
Altmetric has tracked 24,261,860 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 79% 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 311,780 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 86% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.