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Deciphering drug resistance in Mycobacterium tuberculosis using whole-genome sequencing: progress, promise, and challenges

Overview of attention for article published in Genome Medicine, July 2019
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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 (79th percentile)

Mentioned by

twitter
22 X users

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
321 Mendeley
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Title
Deciphering drug resistance in Mycobacterium tuberculosis using whole-genome sequencing: progress, promise, and challenges
Published in
Genome Medicine, July 2019
DOI 10.1186/s13073-019-0660-8
Pubmed ID
Authors

Keira A. Cohen, Abigail L. Manson, Christopher A. Desjardins, Thomas Abeel, Ashlee M. Earl

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 321 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 14%
Student > Master 44 14%
Student > Bachelor 40 12%
Student > Ph. D. Student 36 11%
Student > Doctoral Student 13 4%
Other 34 11%
Unknown 110 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 21%
Immunology and Microbiology 39 12%
Medicine and Dentistry 35 11%
Agricultural and Biological Sciences 20 6%
Pharmacology, Toxicology and Pharmaceutical Science 13 4%
Other 28 9%
Unknown 119 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 23 April 2022.
All research outputs
#3,723,649
of 25,443,857 outputs
Outputs from Genome Medicine
#798
of 1,588 outputs
Outputs of similar age
#73,153
of 359,277 outputs
Outputs of similar age from Genome Medicine
#16
of 20 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,588 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 49th percentile – i.e., 49% 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 359,277 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 79% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.