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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 (94th percentile)

Mentioned by

news
40 news outlets
blogs
2 blogs
twitter
63 X users
video
1 YouTube creator
podcasts
1 podcast

Readers on

mendeley
141 Mendeley
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Article details
Title
A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics
Published in
PLoS Biology, August 2022
DOI 10.1371/journal.pbio.3001721
Pubmed ID
Authors

The CRyPTIC Consortium

Abstract

The Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC) presents here a data compendium of 12,289 Mycobacterium tuberculosis global clinical isolates, all of which have undergone whole-genome sequencing and have had their minimum inhibitory concentrations to 13 antitubercular drugs measured in a single assay. It is the largest matched phenotypic and genotypic dataset for M. tuberculosis to date. Here, we provide a summary detailing the breadth of data collected, along with a description of how the isolates were selected, collected, and uniformly processed in CRyPTIC partner laboratories across 23 countries. The compendium contains 6,814 isolates resistant to at least 1 drug, including 2,129 samples that fully satisfy the clinical definitions of rifampicin resistant (RR), multidrug resistant (MDR), pre-extensively drug resistant (pre-XDR), or extensively drug resistant (XDR). The data are enriched for rare resistance-associated variants, and the current limits of genotypic prediction of resistance status (sensitive/resistant) are presented by using a genetic mutation catalogue, along with the presence of suspected resistance-conferring mutations for isolates resistant to the newly introduced drugs bedaquiline, clofazimine, delamanid, and linezolid. Finally, a case study of rifampicin monoresistance demonstrates how this compendium could be used to advance our genetic understanding of rare resistance phenotypes. The data compendium is fully open source and it is hoped that it will facilitate and inspire future research for years to come.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 63 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 17 12%
Student > Ph. D. Student 15 11%
Unspecified 12 9%
Student > Master 11 8%
Student > Doctoral Student 9 6%
Other 22 16%
Unknown 55 39%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 13%
Agricultural and Biological Sciences 14 10%
Unspecified 12 9%
Medicine and Dentistry 10 7%
Immunology and Microbiology 9 6%
Other 18 13%
Unknown 60 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 359. 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 31 March 2024.
All research outputs
#111,909
of 34,306,620 outputs
Outputs from PLoS Biology
#216
of 7,781 outputs
Outputs of similar age
#2,872
of 457,847 outputs
Outputs of similar age from PLoS Biology
#6
of 109 outputs
Altmetric has tracked 34,306,620 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 7,781 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.7. This one has done particularly well, scoring higher than 97% 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 457,847 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 109 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 94% of its contemporaries.