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Computer-assisted methods for molecular structure elucidation: realizing a spectroscopist's dream

Overview of attention for article published in Journal of Cheminformatics, March 2009
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 672)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
4 blogs
twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
101 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Computer-assisted methods for molecular structure elucidation: realizing a spectroscopist's dream
Published in
Journal of Cheminformatics, March 2009
DOI 10.1186/1758-2946-1-3
Pubmed ID
Authors

Mikhail Elyashberg, Kirill Blinov, Sergey Molodtsov, Yegor Smurnyy, Antony J Williams, Tatiana Churanova

Abstract

This article coincides with the 40 year anniversary of the first published works devoted to the creation of algorithms for computer-aided structure elucidation (CASE). The general principles on which CASE methods are based will be reviewed and the present state of the art in this field will be described using, as an example, the expert system Structure Elucidator.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
United States 2 2%
United Kingdom 2 2%
Brazil 2 2%
Germany 1 <1%
Colombia 1 <1%
Australia 1 <1%
Pakistan 1 <1%
Spain 1 <1%
Other 3 3%
Unknown 85 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 26%
Student > Ph. D. Student 23 23%
Student > Master 18 18%
Professor > Associate Professor 7 7%
Student > Bachelor 6 6%
Other 13 13%
Unknown 8 8%
Readers by discipline Count As %
Chemistry 53 52%
Agricultural and Biological Sciences 13 13%
Engineering 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Computer Science 4 4%
Other 6 6%
Unknown 14 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 21 October 2015.
All research outputs
#846,144
of 17,351,915 outputs
Outputs from Journal of Cheminformatics
#50
of 672 outputs
Outputs of similar age
#4,632
of 120,456 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 56 outputs
Altmetric has tracked 17,351,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 672 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 92% 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 120,456 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 96% of its contemporaries.
We're also able to compare this research output to 56 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 92% of its contemporaries.