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Scaffold Hunter: a comprehensive visual analytics framework for drug discovery

Overview of attention for article published in Journal of Cheminformatics, May 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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
16 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
92 Mendeley
citeulike
1 CiteULike
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Title
Scaffold Hunter: a comprehensive visual analytics framework for drug discovery
Published in
Journal of Cheminformatics, May 2017
DOI 10.1186/s13321-017-0213-3
Pubmed ID
Authors

Till Schäfer, Nils Kriege, Lina Humbeck, Karsten Klein, Oliver Koch, Petra Mutzel

Abstract

The era of big data is influencing the way how rational drug discovery and the development of bioactive molecules is performed and versatile tools are needed to assist in molecular design workflows. Scaffold Hunter is a flexible visual analytics framework for the analysis of chemical compound data and combines techniques from several fields such as data mining and information visualization. The framework allows analyzing high-dimensional chemical compound data in an interactive fashion, combining intuitive visualizations with automated analysis methods including versatile clustering methods. Originally designed to analyze the scaffold tree, Scaffold Hunter is continuously revised and extended. We describe recent extensions that significantly increase the applicability for a variety of tasks.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 1 1%
Germany 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Researcher 19 21%
Student > Master 14 15%
Student > Bachelor 11 12%
Professor > Associate Professor 6 7%
Other 10 11%
Unknown 13 14%
Readers by discipline Count As %
Chemistry 22 24%
Biochemistry, Genetics and Molecular Biology 12 13%
Computer Science 12 13%
Agricultural and Biological Sciences 9 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Other 11 12%
Unknown 20 22%

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 14 June 2018.
All research outputs
#1,607,743
of 22,971,207 outputs
Outputs from Journal of Cheminformatics
#143
of 841 outputs
Outputs of similar age
#33,415
of 310,860 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 20 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 82% 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 310,860 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 89% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.