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Hybrid semantic recommender system for chemical compounds in large-scale datasets

Overview of attention for article published in Journal of Cheminformatics, February 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Hybrid semantic recommender system for chemical compounds in large-scale datasets
Published in
Journal of Cheminformatics, February 2021
DOI 10.1186/s13321-021-00495-2
Pubmed ID
Authors

Marcia Barros, Andre Moitinho, Francisco M. Couto

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Student > Doctoral Student 1 4%
Librarian 1 4%
Other 1 4%
Other 1 4%
Unknown 16 64%
Readers by discipline Count As %
Computer Science 3 12%
Social Sciences 2 8%
Engineering 2 8%
Materials Science 1 4%
Agricultural and Biological Sciences 1 4%
Other 0 0%
Unknown 16 64%
Attention Score in Context

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 24 February 2021.
All research outputs
#7,640,262
of 23,283,373 outputs
Outputs from Journal of Cheminformatics
#606
of 862 outputs
Outputs of similar age
#168,516
of 418,030 outputs
Outputs of similar age from Journal of Cheminformatics
#21
of 27 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 29th percentile – i.e., 29% 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 418,030 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 59% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.