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A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis

Overview of attention for article published in BMC Genomics, January 2022
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Mentioned by

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2 X users

Citations

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Readers on

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43 Mendeley
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Title
A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis
Published in
BMC Genomics, January 2022
DOI 10.1186/s12864-022-08291-4
Pubmed ID
Authors

Wouter Deelder, Gary Napier, Susana Campino, Luigi Palla, Jody Phelan, Taane G. Clark

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Student > Ph. D. Student 4 9%
Researcher 3 7%
Lecturer 2 5%
Student > Postgraduate 2 5%
Other 3 7%
Unknown 22 51%
Readers by discipline Count As %
Medicine and Dentistry 5 12%
Agricultural and Biological Sciences 3 7%
Business, Management and Accounting 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 9%
Unknown 26 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 January 2022.
All research outputs
#18,455,405
of 22,867,327 outputs
Outputs from BMC Genomics
#8,188
of 10,663 outputs
Outputs of similar age
#361,873
of 503,276 outputs
Outputs of similar age from BMC Genomics
#142
of 174 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,663 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 503,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.