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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 (#3 of 745)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

blogs
8 blogs
twitter
21 tweeters
patent
5 patents
wikipedia
8 Wikipedia pages
googleplus
3 Google+ users

Citations

dimensions_citation
3801 Dimensions

Readers on

mendeley
3027 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 21 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 3,027 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 7 <1%
Italy 5 <1%
Canada 5 <1%
France 5 <1%
Czechia 3 <1%
Chile 3 <1%
Other 28 <1%
Unknown 2927 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 681 22%
Student > Bachelor 471 16%
Student > Master 447 15%
Researcher 326 11%
Student > Doctoral Student 217 7%
Other 412 14%
Unknown 473 16%
Readers by discipline Count As %
Chemistry 1138 38%
Biochemistry, Genetics and Molecular Biology 263 9%
Agricultural and Biological Sciences 188 6%
Physics and Astronomy 152 5%
Engineering 138 5%
Other 520 17%
Unknown 628 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 24 November 2021.
All research outputs
#408,370
of 19,830,977 outputs
Outputs from Journal of Cheminformatics
#3
of 745 outputs
Outputs of similar age
#2,130
of 142,021 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 19,830,977 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 745 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 142,021 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 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