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Prediction-driven matched molecular pairs to interpret QSARs and aid the molecular optimization process

Overview of attention for article published in Journal of Cheminformatics, December 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Prediction-driven matched molecular pairs to interpret QSARs and aid the molecular optimization process
Published in
Journal of Cheminformatics, December 2014
DOI 10.1186/s13321-014-0048-0
Pubmed ID
Authors

Yurii Sushko, Sergii Novotarskyi, Robert Körner, Joachim Vogt, Ahmed Abdelaziz, Igor V Tetko

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
China 1 1%
United Kingdom 1 1%
Unknown 73 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 26%
Student > Ph. D. Student 19 24%
Student > Bachelor 9 12%
Other 5 6%
Student > Doctoral Student 3 4%
Other 10 13%
Unknown 12 15%
Readers by discipline Count As %
Chemistry 26 33%
Computer Science 14 18%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Agricultural and Biological Sciences 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 9 12%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 November 2018.
All research outputs
#7,486,175
of 22,881,964 outputs
Outputs from Journal of Cheminformatics
#592
of 838 outputs
Outputs of similar age
#108,138
of 361,641 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 15 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 838 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 27th percentile – i.e., 27% 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 361,641 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 54% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.