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X Demographics
Mendeley readers
Attention Score in Context
Title |
Digital health Systems in Kenyan Public Hospitals: a mixed-methods survey
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, January 2020
|
DOI | 10.1186/s12911-019-1005-7 |
Pubmed ID | |
Authors |
Naomi Muinga, Steve Magare, Jonathan Monda, Mike English, Hamish Fraser, John Powell, Chris Paton |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 5 | 28% |
United States | 2 | 11% |
United Kingdom | 2 | 11% |
Zambia | 1 | 6% |
New Zealand | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 72% |
Scientists | 3 | 17% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 387 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 387 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 60 | 16% |
Student > Ph. D. Student | 38 | 10% |
Researcher | 36 | 9% |
Student > Doctoral Student | 19 | 5% |
Student > Bachelor | 15 | 4% |
Other | 64 | 17% |
Unknown | 155 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 37 | 10% |
Business, Management and Accounting | 36 | 9% |
Computer Science | 32 | 8% |
Nursing and Health Professions | 28 | 7% |
Medicine and Dentistry | 28 | 7% |
Other | 64 | 17% |
Unknown | 162 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 24 August 2023.
All research outputs
#1,337,373
of 25,383,344 outputs
Outputs from BMC Medical Informatics and Decision Making
#53
of 2,139 outputs
Outputs of similar age
#31,686
of 472,701 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 68 outputs
Altmetric has tracked 25,383,344 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,139 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 97% 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 472,701 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.