↓ Skip to main content

CheS-Mapper - Chemical Space Mapping and Visualization in 3D

Overview of attention for article published in Journal of Cheminformatics, March 2012
Altmetric Badge

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 (92nd percentile)

Mentioned by

1 blog
9 tweeters
1 Google+ user


32 Dimensions

Readers on

71 Mendeley
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
CheS-Mapper - Chemical Space Mapping and Visualization in 3D
Published in
Journal of Cheminformatics, March 2012
DOI 10.1186/1758-2946-4-7
Pubmed ID

Martin Gütlein, Andreas Karwath, Stefan Kramer


Analyzing chemical datasets is a challenging task for scientific researchers in the field of chemoinformatics. It is important, yet difficult to understand the relationship between the structure of chemical compounds, their physico-chemical properties, and biological or toxic effects. To that respect, visualization tools can help to better comprehend the underlying correlations. Our recently developed 3D molecular viewer CheS-Mapper (Chemical Space Mapper) divides large datasets into clusters of similar compounds and consequently arranges them in 3D space, such that their spatial proximity reflects their similarity. The user can indirectly determine similarity, by selecting which features to employ in the process. The tool can use and calculate different kind of features, like structural fragments as well as quantitative chemical descriptors. These features can be highlighted within CheS-Mapper, which aids the chemist to better understand patterns and regularities and relate the observations to established scientific knowledge. As a final function, the tool can also be used to select and export specific subsets of a given dataset for further analysis.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
United Kingdom 2 3%
Canada 1 1%
Denmark 1 1%
Germany 1 1%
United States 1 1%
Unknown 63 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 17 24%
Other 7 10%
Student > Master 7 10%
Student > Bachelor 5 7%
Other 12 17%
Unknown 4 6%
Readers by discipline Count As %
Chemistry 25 35%
Agricultural and Biological Sciences 13 18%
Computer Science 12 17%
Engineering 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 6 8%
Unknown 9 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 02 October 2013.
All research outputs
of 12,434,464 outputs
Outputs from Journal of Cheminformatics
of 494 outputs
Outputs of similar age
of 117,629 outputs
Outputs of similar age from Journal of Cheminformatics
of 4 outputs
Altmetric has tracked 12,434,464 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 494 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. 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 117,629 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 92% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.