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Avogadro: an advanced semantic chemical editor, visualization, and analysis platform

Overview of attention for article published in Journal of Cheminformatics, August 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 838)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
8 blogs
twitter
19 tweeters
patent
8 patents
wikipedia
11 Wikipedia pages
googleplus
3 Google+ users

Citations

dimensions_citation
4936 Dimensions

Readers on

mendeley
3798 Mendeley
citeulike
3 CiteULike
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Title
Avogadro: an advanced semantic chemical editor, visualization, and analysis platform
Published in
Journal of Cheminformatics, August 2012
DOI 10.1186/1758-2946-4-17
Pubmed ID
Authors

Marcus D Hanwell, Donald E Curtis, David C Lonie, Tim Vandermeersch, Eva Zurek, Geoffrey R Hutchison

Twitter Demographics

The data shown below were collected from the profiles of 19 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 3,798 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 20 <1%
Germany 13 <1%
Brazil 11 <1%
United Kingdom 6 <1%
Italy 5 <1%
Canada 5 <1%
France 4 <1%
Australia 3 <1%
Spain 3 <1%
Other 27 <1%
Unknown 3701 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 793 21%
Student > Bachelor 558 15%
Student > Master 519 14%
Researcher 380 10%
Student > Doctoral Student 254 7%
Other 569 15%
Unknown 725 19%
Readers by discipline Count As %
Chemistry 1317 35%
Biochemistry, Genetics and Molecular Biology 335 9%
Agricultural and Biological Sciences 216 6%
Engineering 162 4%
Physics and Astronomy 160 4%
Other 694 18%
Unknown 914 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 08 December 2022.
All research outputs
#462,997
of 22,899,952 outputs
Outputs from Journal of Cheminformatics
#5
of 838 outputs
Outputs of similar age
#2,383
of 167,611 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 12 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 838 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 99% 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 167,611 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 98% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.