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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Study design and protocol of a stepped wedge cluster randomized trial using a practical implementation strategy as a model for hypertension-HIV integration — the MAP-IT trial
|
|---|---|
| Published in |
Implementation Science, May 2023
|
| DOI | 10.1186/s13012-023-01272-5 |
| Pubmed ID | |
| Authors |
Angela A. Aifah, Erinn M. Hade, Calvin Colvin, Daniel Henry, Shivani Mishra, Ashlin Rakhra, Deborah Onakomaiya, Anyiekere Ekanem, Gabriel Shedul, Geetha P. Bansal, Daphne Lew, Nafesa Kanneh, Samuel Osagie, Ememobong Udoh, Esther Okon, Juliet Iwelunmor, Angela Attah, Gbenga Ogedegbe, Dike Ojji |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 38% |
| Unknown | 8 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 38% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 19% |
| Unspecified | 2 | 13% |
| Nursing and Health Professions | 2 | 13% |
| Engineering | 2 | 13% |
| Unknown | 7 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 June 2023.
All research outputs
#3,689,588
of 25,118,194 outputs
Outputs from Implementation Science
#735
of 1,798 outputs
Outputs of similar age
#67,039
of 387,737 outputs
Outputs of similar age from Implementation Science
#8
of 17 outputs
Altmetric has tracked 25,118,194 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 59% 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 387,737 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 82% of its contemporaries.
We're also able to compare this research output to 17 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 58% of its contemporaries.