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ReactionCode: format for reaction searching, analysis, classification, transform, and encoding/decoding

Overview of attention for article published in Journal of Cheminformatics, December 2020
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
22 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
27 Mendeley
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Title
ReactionCode: format for reaction searching, analysis, classification, transform, and encoding/decoding
Published in
Journal of Cheminformatics, December 2020
DOI 10.1186/s13321-020-00476-x
Pubmed ID
Authors

Victorien Delannée, Marc C. Nicklaus

Twitter Demographics

The data shown below were collected from the profiles of 22 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 37%
Student > Ph. D. Student 6 22%
Student > Master 2 7%
Student > Bachelor 1 4%
Other 1 4%
Other 1 4%
Unknown 6 22%
Readers by discipline Count As %
Chemistry 15 56%
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Agricultural and Biological Sciences 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 6 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 January 2021.
All research outputs
#2,384,073
of 21,321,193 outputs
Outputs from Journal of Cheminformatics
#248
of 783 outputs
Outputs of similar age
#80,123
of 494,485 outputs
Outputs of similar age from Journal of Cheminformatics
#33
of 72 outputs
Altmetric has tracked 21,321,193 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 783 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 gotten more attention than average, scoring higher than 68% 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 494,485 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 83% of its contemporaries.
We're also able to compare this research output to 72 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 55% of its contemporaries.