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Specificity and positive predictive value of SARS-CoV-2 nucleic acid amplification testing in a low prevalence setting

Overview of attention for article published in Clinical Microbiology and Infection, October 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 3,290)
  • 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

twitter
2886 tweeters
facebook
1 Facebook page

Readers on

mendeley
1 Mendeley
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Title
Specificity and positive predictive value of SARS-CoV-2 nucleic acid amplification testing in a low prevalence setting
Published in
Clinical Microbiology and Infection, October 2020
DOI 10.1016/j.cmi.2020.10.003
Pubmed ID
Authors

Jordan P. Skittrall, Michael Wilson, Anna A. Smielewska, Surendra Parmar, Mary D. Fortune, Dominic Sparkes, Martin D. Curran, Hongyi Zhang, Hamid Jalal

Twitter Demographics

The data shown below were collected from the profiles of 2,886 tweeters 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1537. 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 26 October 2020.
All research outputs
#2,909
of 16,094,294 outputs
Outputs from Clinical Microbiology and Infection
#2
of 3,290 outputs
Outputs of similar age
#218
of 224,642 outputs
Outputs of similar age from Clinical Microbiology and Infection
#1
of 143 outputs
Altmetric has tracked 16,094,294 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 3,290 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 224,642 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 143 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.