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Using deep learning to identify recent positive selection in malaria parasite sequence data

Overview of attention for article published in Malaria Journal, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Using deep learning to identify recent positive selection in malaria parasite sequence data
Published in
Malaria Journal, June 2021
DOI 10.1186/s12936-021-03788-x
Pubmed ID
Authors

Wouter Deelder, Ernest Diez Benavente, Jody Phelan, Emilia Manko, Susana Campino, Luigi Palla, Taane G. Clark

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 10%
Researcher 6 10%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 10 17%
Unknown 27 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 12%
Computer Science 5 8%
Agricultural and Biological Sciences 5 8%
Engineering 5 8%
Medicine and Dentistry 3 5%
Other 5 8%
Unknown 30 50%
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 19 June 2021.
All research outputs
#8,348,579
of 26,583,927 outputs
Outputs from Malaria Journal
#2,238
of 6,116 outputs
Outputs of similar age
#167,582
of 464,534 outputs
Outputs of similar age from Malaria Journal
#47
of 126 outputs
Altmetric has tracked 26,583,927 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,116 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 464,534 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 63% of its contemporaries.
We're also able to compare this research output to 126 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 62% of its contemporaries.