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A genomic and evolutionary approach reveals non-genetic drug resistance in malaria

Overview of attention for article published in Genome Biology (Online Edition), November 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
45 Mendeley
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Title
A genomic and evolutionary approach reveals non-genetic drug resistance in malaria
Published in
Genome Biology (Online Edition), November 2014
DOI 10.1186/s13059-014-0511-2
Authors

Jonathan D Herman, Daniel P Rice, Ulf Ribacke, Jacob Silterra, Amy A Deik, Eli L Moss, Kate M Broadbent, Daniel E Neafsey, Michael M Desai, Clary B Clish, Ralph Mazitschek, Dyann F Wirth

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Sri Lanka 1 2%
Belgium 1 2%
Taiwan 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 31%
Student > Ph. D. Student 10 22%
Student > Master 6 13%
Student > Bachelor 4 9%
Lecturer > Senior Lecturer 3 7%
Other 6 13%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 49%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 3 7%
Computer Science 3 7%
Chemistry 2 4%
Other 1 2%
Unknown 5 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 August 2020.
All research outputs
#9,936,908
of 16,176,253 outputs
Outputs from Genome Biology (Online Edition)
#3,097
of 3,438 outputs
Outputs of similar age
#146,735
of 268,753 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 16,176,253 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.0. This one is in the 9th percentile – i.e., 9% 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 268,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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