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A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood

Overview of attention for article published in Journal of Cheminformatics, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
89 Mendeley
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Title
A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood
Published in
Journal of Cheminformatics, December 2016
DOI 10.1186/s13321-016-0182-y
Authors

Natália Aniceto, Alex A. Freitas, Andreas Bender, Taravat Ghafourian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Germany 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Student > Master 16 18%
Researcher 12 13%
Student > Bachelor 10 11%
Student > Doctoral Student 6 7%
Other 10 11%
Unknown 18 20%
Readers by discipline Count As %
Chemistry 27 30%
Computer Science 8 9%
Pharmacology, Toxicology and Pharmaceutical Science 7 8%
Biochemistry, Genetics and Molecular Biology 7 8%
Agricultural and Biological Sciences 6 7%
Other 13 15%
Unknown 21 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 September 2018.
All research outputs
#5,783,250
of 22,947,506 outputs
Outputs from Journal of Cheminformatics
#487
of 840 outputs
Outputs of similar age
#104,467
of 416,576 outputs
Outputs of similar age from Journal of Cheminformatics
#10
of 19 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 840 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 41st percentile – i.e., 41% 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 416,576 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 74% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.