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International chemical identifier for reactions (RInChI)

Overview of attention for article published in Journal of Cheminformatics, October 2013
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
2 blogs
twitter
9 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
55 Mendeley
citeulike
1 CiteULike
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Title
International chemical identifier for reactions (RInChI)
Published in
Journal of Cheminformatics, October 2013
DOI 10.1186/1758-2946-5-45
Pubmed ID
Authors

Guenter Grethe, Jonathan M Goodman, Chad HG Allen

Abstract

The IUPAC International Chemical Identifier (InChI) provides a method to generate a unique text descriptor of molecular structures. Building on this work, we report a process to generate a unique text descriptor for reactions, RInChI. By carefully selecting the information that is included and by ordering the data carefully, different scientists studying the same reaction should produce the same RInChI. If differences arise, these are most likely the minor layers of the InChI, and so may be readily handled. RInChI provides a concise description of the key data in a chemical reaction, and will help enable the rapid searching and analysis of reaction databases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
Germany 2 4%
Bulgaria 1 2%
Netherlands 1 2%
Mexico 1 2%
United States 1 2%
Unknown 46 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 35%
Student > Ph. D. Student 15 27%
Student > Master 7 13%
Student > Bachelor 3 5%
Professor > Associate Professor 2 4%
Other 5 9%
Unknown 4 7%
Readers by discipline Count As %
Chemistry 21 38%
Agricultural and Biological Sciences 7 13%
Computer Science 7 13%
Biochemistry, Genetics and Molecular Biology 6 11%
Engineering 5 9%
Other 5 9%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 11 July 2020.
All research outputs
#1,667,940
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#118
of 943 outputs
Outputs of similar age
#15,206
of 219,151 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 6 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 943 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 well, scoring higher than 87% 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 219,151 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 93% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.