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Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model

Overview of attention for article published in BMC Medicine, August 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

policy
1 policy source
twitter
18 X users
facebook
1 Facebook page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
100 Mendeley
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Title
Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model
Published in
BMC Medicine, August 2019
DOI 10.1186/s12916-019-1384-8
Pubmed ID
Authors

Hojoon Sohn, Parastu Kasaie, Emily Kendall, Gabriela B. Gomez, Anna Vassall, Madhukar Pai, David Dowdy

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Master 14 14%
Student > Ph. D. Student 8 8%
Student > Postgraduate 8 8%
Student > Bachelor 6 6%
Other 13 13%
Unknown 35 35%
Readers by discipline Count As %
Medicine and Dentistry 21 21%
Nursing and Health Professions 9 9%
Agricultural and Biological Sciences 4 4%
Economics, Econometrics and Finance 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 15 15%
Unknown 43 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 01 July 2021.
All research outputs
#2,575,050
of 25,292,646 outputs
Outputs from BMC Medicine
#1,693
of 3,978 outputs
Outputs of similar age
#50,952
of 351,725 outputs
Outputs of similar age from BMC Medicine
#28
of 58 outputs
Altmetric has tracked 25,292,646 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has gotten more attention than average, scoring higher than 57% 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 351,725 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 85% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.