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Evaluation of implementation and effectiveness of digital adherence technology with differentiated care to support tuberculosis treatment adherence and improve treatment outcomes in Ethiopia: a study…

Overview of attention for article published in BMC Infectious Diseases, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
22 Mendeley
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Title
Evaluation of implementation and effectiveness of digital adherence technology with differentiated care to support tuberculosis treatment adherence and improve treatment outcomes in Ethiopia: a study protocol for a cluster randomised trial
Published in
BMC Infectious Diseases, November 2021
DOI 10.1186/s12879-021-06833-x
Pubmed ID
Authors

Amare W. Tadesse, Zemedu Mohammed, Nicola Foster, Matthew Quaife, Christopher Finn McQuaid, Jens Levy, Kristian van Kalmthout, Job van Rest, Degu Jerene, Tofik Abdurhman, Hiwot Yazew, Demekech G. Umeta, Demelash Assefa, Gedion T. Weldemichael, Ahmed Bedru, Taye Letta, Katherine L. Fielding

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 14%
Researcher 3 14%
Student > Ph. D. Student 2 9%
Student > Master 2 9%
Student > Doctoral Student 2 9%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Nursing and Health Professions 4 18%
Unspecified 4 18%
Unknown 9 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 December 2021.
All research outputs
#11,687,060
of 20,551,883 outputs
Outputs from BMC Infectious Diseases
#2,741
of 7,080 outputs
Outputs of similar age
#183,867
of 435,630 outputs
Outputs of similar age from BMC Infectious Diseases
#297
of 810 outputs
Altmetric has tracked 20,551,883 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,080 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 60% 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 435,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 810 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 62% of its contemporaries.