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Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability

Overview of attention for article published in Journal of Cheminformatics, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability
Published in
Journal of Cheminformatics, August 2019
DOI 10.1186/s13321-019-0376-1
Authors

Oliver Laufkötter, Noé Sturm, Jürgen Bajorath, Hongming Chen, Ola Engkvist

Twitter Demographics

The data shown below were collected from the profiles of 6 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 33%
Student > Master 7 18%
Student > Ph. D. Student 6 15%
Student > Doctoral Student 2 5%
Professor 1 3%
Other 2 5%
Unknown 8 21%
Readers by discipline Count As %
Chemistry 9 23%
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 5 13%
Computer Science 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Other 2 5%
Unknown 10 26%

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 12 August 2019.
All research outputs
#8,049,457
of 15,640,467 outputs
Outputs from Journal of Cheminformatics
#413
of 617 outputs
Outputs of similar age
#106,996
of 262,507 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 15,640,467 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 617 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 32nd percentile – i.e., 32% 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 262,507 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 58% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them