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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Malaria Screener: a smartphone application for automated malaria screening
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2020
|
| DOI | 10.1186/s12879-020-05453-1 |
| Pubmed ID | |
| Authors |
Hang Yu, Feng Yang, Sivaramakrishnan Rajaraman, Ilker Ersoy, Golnaz Moallem, Mahdieh Poostchi, Kannappan Palaniappan, Sameer Antani, Richard J. Maude, Stefan Jaeger |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 3 | 27% |
| Thailand | 2 | 18% |
| United States | 1 | 9% |
| Saudi Arabia | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 9% |
| Student > Ph. D. Student | 10 | 9% |
| Researcher | 9 | 8% |
| Unspecified | 7 | 6% |
| Student > Bachelor | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 53 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 12% |
| Computer Science | 12 | 11% |
| Agricultural and Biological Sciences | 6 | 5% |
| Unspecified | 5 | 4% |
| Engineering | 4 | 4% |
| Other | 13 | 12% |
| Unknown | 59 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 21 March 2021.
All research outputs
#2,189,747
of 23,262,131 outputs
Outputs from BMC Infectious Diseases
#630
of 7,791 outputs
Outputs of similar age
#57,549
of 415,600 outputs
Outputs of similar age from BMC Infectious Diseases
#13
of 154 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 91% 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 415,600 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 86% of its contemporaries.
We're also able to compare this research output to 154 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 91% of its contemporaries.