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Systems analysis and improvement approach to optimize the hypertension diagnosis and care cascade for PLHIV individuals (SAIA-HTN): a hybrid type III cluster randomized trial

Overview of attention for article published in Implementation Science, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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5 X users

Citations

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19 Dimensions

Readers on

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156 Mendeley
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Title
Systems analysis and improvement approach to optimize the hypertension diagnosis and care cascade for PLHIV individuals (SAIA-HTN): a hybrid type III cluster randomized trial
Published in
Implementation Science, March 2020
DOI 10.1186/s13012-020-0973-4
Pubmed ID
Authors

Sarah Gimbel, Ana Olga Mocumbi, Kristjana Ásbjörnsdóttir, Joana Coutinho, Leonel Andela, Bonifacio Cebola, Heidi Craine, Jonny Crocker, Leecreesha Hicks, Sarah Holte, Rodrigues Hossieke, Edgar Itai, Carol Levin, Nelia Manaca, Filipe Murgorgo, Miguel Nhumba, James Pfeiffer, Isaias Ramiro, Keshet Ronen, Nona Sotoodehnia, Onei Uetela, Anjuli Wagner, Bryan J. Weiner, Kenneth Sherr

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 156 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 15%
Researcher 19 12%
Student > Ph. D. Student 18 12%
Student > Bachelor 9 6%
Lecturer 8 5%
Other 22 14%
Unknown 57 37%
Readers by discipline Count As %
Nursing and Health Professions 26 17%
Medicine and Dentistry 21 13%
Economics, Econometrics and Finance 8 5%
Social Sciences 7 4%
Business, Management and Accounting 5 3%
Other 25 16%
Unknown 64 41%
Attention Score in Context

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 06 December 2020.
All research outputs
#13,154,402
of 23,197,711 outputs
Outputs from Implementation Science
#1,338
of 1,726 outputs
Outputs of similar age
#167,495
of 362,402 outputs
Outputs of similar age from Implementation Science
#14
of 16 outputs
Altmetric has tracked 23,197,711 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 1,726 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 20th percentile – i.e., 20% 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 362,402 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 52% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.