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Improving machine learning in early drug discovery

Overview of attention for article published in Annals of Mathematics and Artificial Intelligence, March 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Citations

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5 Dimensions

Readers on

mendeley
23 Mendeley
citeulike
1 CiteULike
Title
Improving machine learning in early drug discovery
Published in
Annals of Mathematics and Artificial Intelligence, March 2017
DOI 10.1007/s10472-017-9541-2
Authors

Claus Bendtsen, Andrea Degasperi, Ernst Ahlberg, Lars Carlsson

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Bachelor 3 13%
Other 3 13%
Student > Postgraduate 3 13%
Student > Ph. D. Student 3 13%
Other 4 17%
Unknown 3 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Chemistry 4 17%
Computer Science 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Agricultural and Biological Sciences 2 9%
Other 3 13%
Unknown 4 17%
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 25 April 2017.
All research outputs
#13,424,789
of 23,849,058 outputs
Outputs from Annals of Mathematics and Artificial Intelligence
#73
of 133 outputs
Outputs of similar age
#163,113
of 336,635 outputs
Outputs of similar age from Annals of Mathematics and Artificial Intelligence
#1
of 4 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 133 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 44th percentile – i.e., 44% 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 336,635 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 51% of its contemporaries.
We're also able to compare this research output to 4 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