↓ Skip to main content

Tuberculosis drug resistance profiling based on machine learning: A literature review

Overview of attention for article published in Brazilian Journal of Infectious Diseases, February 2022
Altmetric Badge

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 (76th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
7 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
66 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Tuberculosis drug resistance profiling based on machine learning: A literature review
Published in
Brazilian Journal of Infectious Diseases, February 2022
DOI 10.1016/j.bjid.2022.102332
Pubmed ID
Authors

Abhinav Sharma, Edson Machado, Karla Valeria Batista Lima, Philip Noel Suffys, Emilyn Costa Conceição

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 9%
Researcher 5 8%
Student > Bachelor 4 6%
Student > Master 4 6%
Student > Ph. D. Student 4 6%
Other 6 9%
Unknown 37 56%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 12%
Computer Science 8 12%
Medicine and Dentistry 3 5%
Business, Management and Accounting 2 3%
Engineering 2 3%
Other 5 8%
Unknown 38 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 November 2023.
All research outputs
#5,170,825
of 25,392,582 outputs
Outputs from Brazilian Journal of Infectious Diseases
#84
of 810 outputs
Outputs of similar age
#130,745
of 548,503 outputs
Outputs of similar age from Brazilian Journal of Infectious Diseases
#3
of 18 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 810 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 89% 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 548,503 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 76% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.