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ChemDoodle Web Components: HTML5 toolkit for chemical graphics, interfaces, and informatics

Overview of attention for article published in Journal of Cheminformatics, July 2015
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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 (92nd percentile)

Mentioned by

twitter
22 tweeters
facebook
3 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
2 CiteULike
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Title
ChemDoodle Web Components: HTML5 toolkit for chemical graphics, interfaces, and informatics
Published in
Journal of Cheminformatics, July 2015
DOI 10.1186/s13321-015-0085-3
Pubmed ID
Authors

Melanie C Burger

Abstract

ChemDoodle Web Components (abbreviated CWC, iChemLabs, LLC) is a light-weight (~340 KB) JavaScript/HTML5 toolkit for chemical graphics, structure editing, interfaces, and informatics based on the proprietary ChemDoodle desktop software. The library uses <canvas> and WebGL technologies and other HTML5 features to provide solutions for creating chemistry-related applications for the web on desktop and mobile platforms. CWC can serve a broad range of scientific disciplines including crystallography, materials science, organic and inorganic chemistry, biochemistry and chemical biology. CWC is freely available for in-house use and is open source (GPL v3) for all other uses.Graphical abstractAdd interactive 2D and 3D chemical sketchers, graphics, and spectra to websites and apps with ChemDoodle Web Components.

Twitter Demographics

The data shown below were collected from the profiles of 22 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
Czechia 1 3%
United States 1 3%
Brazil 1 3%
Unknown 35 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 7 18%
Student > Bachelor 7 18%
Student > Postgraduate 5 13%
Student > Master 5 13%
Other 7 18%
Unknown 2 5%
Readers by discipline Count As %
Chemistry 9 23%
Agricultural and Biological Sciences 8 20%
Computer Science 7 18%
Arts and Humanities 4 10%
Social Sciences 3 8%
Other 5 13%
Unknown 4 10%

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 01 September 2019.
All research outputs
#936,098
of 15,153,764 outputs
Outputs from Journal of Cheminformatics
#83
of 610 outputs
Outputs of similar age
#17,816
of 232,064 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 15,153,764 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 610 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 86% 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 232,064 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them