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Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs)

Overview of attention for article published in Journal of Cheminformatics, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs)
Published in
Journal of Cheminformatics, October 2018
DOI 10.1186/s13321-018-0306-7
Pubmed ID
Authors

César R. García-Jacas, Lisset Cabrera-Leyva, Yovani Marrero-Ponce, José Suárez-Lezcano, Fernando Cortés-Guzmán, Mario Pupo-Meriño, Ricardo Vivas-Reyes

Twitter Demographics

The data shown below were collected from the profiles of 5 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 33%
Researcher 3 20%
Professor 2 13%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Engineering 6 40%
Computer Science 3 20%
Chemistry 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unknown 3 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 October 2018.
All research outputs
#3,755,521
of 13,703,906 outputs
Outputs from Journal of Cheminformatics
#314
of 552 outputs
Outputs of similar age
#113,013
of 309,913 outputs
Outputs of similar age from Journal of Cheminformatics
#46
of 68 outputs
Altmetric has tracked 13,703,906 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 552 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 309,913 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.