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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
23 tweeters
facebook
3 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
38 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 23 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 38 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 33 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Bachelor 7 18%
Researcher 6 16%
Student > Postgraduate 5 13%
Student > Master 5 13%
Other 6 16%
Unknown 2 5%
Readers by discipline Count As %
Chemistry 9 24%
Agricultural and Biological Sciences 8 21%
Computer Science 6 16%
Arts and Humanities 4 11%
Social Sciences 2 5%
Other 5 13%
Unknown 4 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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
#785,894
of 13,949,300 outputs
Outputs from Journal of Cheminformatics
#70
of 563 outputs
Outputs of similar age
#16,460
of 231,004 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 13,949,300 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 563 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 87% 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 231,004 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