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End TB strategy: the need to reduce risk inequalities

Overview of attention for article published in BMC Infectious Diseases, March 2016
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
92 Mendeley
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Title
End TB strategy: the need to reduce risk inequalities
Published in
BMC Infectious Diseases, March 2016
DOI 10.1186/s12879-016-1464-8
Pubmed ID
Authors

M. Gabriela M. Gomes, Maurício L. Barreto, Philippe Glaziou, Graham F. Medley, Laura C. Rodrigues, Jacco Wallinga, S. Bertel Squire

Abstract

Diseases occur in populations whose individuals differ in essential characteristics, such as exposure to the causative agent, susceptibility given exposure, and infectiousness upon infection in the case of infectious diseases. Concepts developed in demography more than 30 years ago assert that variability between individuals affects substantially the estimation of overall population risk from disease incidence data. Methods that ignore individual heterogeneity tend to underestimate overall risk and lead to overoptimistic expectations for control. Concerned that this phenomenon is frequently overlooked in epidemiology, here we feature its significance for interpreting global data on human tuberculosis and predicting the impact of control measures. We show that population-wide interventions have the greatest impact in populations where all individuals face an equal risk. Lowering variability in risk has great potential to increase the impact of interventions. Reducing inequality, therefore, empowers health interventions, which in turn improves health, further reducing inequality, in a virtuous circle.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 1%
Switzerland 1 1%
Brazil 1 1%
Unknown 87 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 21%
Researcher 13 14%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 6 7%
Professor 5 5%
Other 19 21%
Unknown 21 23%
Readers by discipline Count As %
Medicine and Dentistry 23 25%
Nursing and Health Professions 10 11%
Social Sciences 8 9%
Biochemistry, Genetics and Molecular Biology 4 4%
Mathematics 4 4%
Other 17 18%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 18 June 2020.
All research outputs
#1,782,999
of 22,858,915 outputs
Outputs from BMC Infectious Diseases
#469
of 7,687 outputs
Outputs of similar age
#31,572
of 300,114 outputs
Outputs of similar age from BMC Infectious Diseases
#11
of 92 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,687 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 93% 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 300,114 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 89% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.