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Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning

Overview of attention for article published in Malaria Journal, April 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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15 X users
facebook
1 Facebook page

Citations

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20 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning
Published in
Malaria Journal, April 2022
DOI 10.1186/s12936-022-04146-1
Pubmed ID
Authors

Debashish Das, Ranitha Vongpromek, Thanawat Assawariyathipat, Ketsanee Srinamon, Kalynn Kennon, Kasia Stepniewska, Aniruddha Ghose, Abdullah Abu Sayeed, M. Abul Faiz, Rebeca Linhares Abreu Netto, Andre Siqueira, Serge R. Yerbanga, Jean Bosco Ouédraogo, James J. Callery, Thomas J. Peto, Rupam Tripura, Felix Koukouikila-Koussounda, Francine Ntoumi, John Michael Ong’echa, Bernhards Ogutu, Prakash Ghimire, Jutta Marfurt, Benedikt Ley, Amadou Seck, Magatte Ndiaye, Bhavani Moodley, Lisa Ming Sun, Laypaw Archasuksan, Stephane Proux, Sam L. Nsobya, Philip J. Rosenthal, Matthew P. Horning, Shawn K. McGuire, Courosh Mehanian, Stephen Burkot, Charles B. Delahunt, Christine Bachman, Ric N. Price, Arjen M. Dondorp, François Chappuis, Philippe J. Guérin, Mehul Dhorda

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 10%
Lecturer 4 8%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Student > Ph. D. Student 2 4%
Other 3 6%
Unknown 31 61%
Readers by discipline Count As %
Engineering 5 10%
Computer Science 4 8%
Agricultural and Biological Sciences 3 6%
Medicine and Dentistry 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 2 4%
Unknown 32 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 July 2022.
All research outputs
#4,765,745
of 24,066,486 outputs
Outputs from Malaria Journal
#1,168
of 5,772 outputs
Outputs of similar age
#104,189
of 430,646 outputs
Outputs of similar age from Malaria Journal
#23
of 89 outputs
Altmetric has tracked 24,066,486 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,772 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 79% 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 430,646 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.