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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 984)
  • 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
20 X users
patent
10 patents
wikipedia
11 Wikipedia pages
googleplus
3 Google+ users

Citations

dimensions_citation
6484 Dimensions

Readers on

mendeley
4598 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 4,598 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 <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 4502 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 882 19%
Student > Bachelor 626 14%
Student > Master 568 12%
Researcher 437 10%
Student > Doctoral Student 290 6%
Other 626 14%
Unknown 1169 25%
Readers by discipline Count As %
Chemistry 1466 32%
Biochemistry, Genetics and Molecular Biology 390 8%
Agricultural and Biological Sciences 237 5%
Engineering 182 4%
Chemical Engineering 163 4%
Other 770 17%
Unknown 1390 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 26 September 2023.
All research outputs
#547,674
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#5
of 984 outputs
Outputs of similar age
#2,738
of 188,999 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 12 outputs
Altmetric has tracked 25,837,817 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 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 188,999 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.