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SpeckTackle: JavaScript charts for spectroscopy

Overview of attention for article published in Journal of Cheminformatics, May 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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
googleplus
3 Google+ users

Readers on

mendeley
26 Mendeley
citeulike
4 CiteULike
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Title
SpeckTackle: JavaScript charts for spectroscopy
Published in
Journal of Cheminformatics, May 2015
DOI 10.1186/s13321-015-0065-7
Pubmed ID
Authors

Stephan Beisken, Pablo Conesa, Kenneth Haug, Reza M Salek, Christoph Steinbeck

Abstract

Spectra visualisation from methods such as mass spectroscopy, infrared spectroscopy or nuclear magnetic resonance is an essential part of every web-facing spectral resource. The development of an intuitive and versatile visualisation tool is a time- and resource-intensive task, however, most databases use their own embedded viewers and new databases continue to develop their own viewers. We present SpeckTackle, a custom-tailored JavaScript charting library for spectroscopy in life sciences. SpeckTackle is cross-browser compatible and easy to integrate into existing resources, as we demonstrate for the MetaboLights database. Its default chart types cover common visualisation tasks following the de facto 'look and feel' standards for spectra visualisation. SpeckTackle is released under GNU LGPL to encourage uptake and reuse within the community. The latest version of the library including examples and documentation on how to use and extend the library with additional chart types is available online in its public repository.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 12%
Canada 2 8%
Germany 1 4%
Unknown 20 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 38%
Student > Master 5 19%
Student > Bachelor 3 12%
Student > Ph. D. Student 2 8%
Other 2 8%
Other 1 4%
Unknown 3 12%
Readers by discipline Count As %
Chemistry 8 31%
Agricultural and Biological Sciences 4 15%
Computer Science 4 15%
Biochemistry, Genetics and Molecular Biology 3 12%
Physics and Astronomy 1 4%
Other 3 12%
Unknown 3 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 15 February 2021.
All research outputs
#2,248,225
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#202
of 891 outputs
Outputs of similar age
#28,842
of 267,918 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 19 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 77% 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 267,918 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 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.