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A strategy for finding people infected with SARS-CoV-2: optimizing pooled testing at low prevalence

Overview of attention for article published in arXiv, April 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
53 news outlets
blogs
3 blogs
twitter
223 X users
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Readers on

mendeley
247 Mendeley
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Title
A strategy for finding people infected with SARS-CoV-2: optimizing pooled testing at low prevalence
Published in
arXiv, April 2020
Authors

Leon Mutesa, Pacifique Ndishimye, Yvan Butera, Jacob Souopgui, Annette Uwineza, Robert Rutayisire, Emile Musoni, Nadine Rujeni, Thierry Nyatanyi, Edouard Ntagwabira, Muhammed Semakula, Clarisse Musanabaganwa, Daniel Nyamwasa, Maurice Ndashimye, Eva Ujeneza, Ivan Emile Mwikarago, Claude Mambo Muvunyi, Jean Baptiste Mazarati, Sabin Nsanzimana, Neil Turok, Wilfred Ndifon

X Demographics

X Demographics

The data shown below were collected from the profiles of 223 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 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 247 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 7%
Student > Master 12 5%
Student > Ph. D. Student 8 3%
Other 6 2%
Professor > Associate Professor 6 2%
Other 16 6%
Unknown 182 74%
Readers by discipline Count As %
Medicine and Dentistry 19 8%
Biochemistry, Genetics and Molecular Biology 10 4%
Agricultural and Biological Sciences 8 3%
Nursing and Health Professions 4 2%
Physics and Astronomy 4 2%
Other 17 7%
Unknown 185 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 630. 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 15 March 2021.
All research outputs
#35,078
of 25,387,668 outputs
Outputs from arXiv
#328
of 915,148 outputs
Outputs of similar age
#1,602
of 408,688 outputs
Outputs of similar age from arXiv
#14
of 23,734 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 408,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 23,734 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.