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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial Intelligence for Healthcare in Africa
|
|---|---|
| Published in |
Frontiers in Digital Health, July 2020
|
| DOI | 10.3389/fdgth.2020.00006 |
| Pubmed ID | |
| Authors |
Ayomide Owoyemi, Joshua Owoyemi, Adenekan Osiyemi, Andy Boyd |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 3 | 10% |
| United States | 3 | 10% |
| France | 2 | 7% |
| Ghana | 1 | 3% |
| Zimbabwe | 1 | 3% |
| United Kingdom | 1 | 3% |
| Comoros | 1 | 3% |
| Austria | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 14 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 83% |
| Scientists | 2 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 207 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 10% |
| Student > Ph. D. Student | 17 | 8% |
| Researcher | 15 | 7% |
| Student > Bachelor | 15 | 7% |
| Student > Doctoral Student | 10 | 5% |
| Other | 34 | 16% |
| Unknown | 96 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 10% |
| Social Sciences | 14 | 7% |
| Medicine and Dentistry | 13 | 6% |
| Engineering | 9 | 4% |
| Unspecified | 7 | 3% |
| Other | 43 | 21% |
| Unknown | 100 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 29 December 2023.
All research outputs
#2,007,246
of 25,905,864 outputs
Outputs from Frontiers in Digital Health
#55
of 871 outputs
Outputs of similar age
#54,642
of 432,740 outputs
Outputs of similar age from Frontiers in Digital Health
#3
of 10 outputs
Altmetric has tracked 25,905,864 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 871 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. 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 432,740 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 87% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.