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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models
|
|---|---|
| Published in |
BMC Bioinformatics, March 2021
|
| DOI | 10.1186/s12859-021-04036-4 |
| Pubmed ID | |
| Authors |
Fetulhak Abdurahman, Kinde Anlay Fante, Mohammed Aliy |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| Sweden | 1 | 8% |
| Ethiopia | 1 | 8% |
| Unknown | 8 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 159 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 12% |
| Student > Master | 12 | 8% |
| Student > Ph. D. Student | 11 | 7% |
| Researcher | 9 | 6% |
| Lecturer | 8 | 5% |
| Other | 25 | 16% |
| Unknown | 75 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 16% |
| Engineering | 22 | 14% |
| Medicine and Dentistry | 9 | 6% |
| Agricultural and Biological Sciences | 7 | 4% |
| Unspecified | 4 | 3% |
| Other | 14 | 9% |
| Unknown | 77 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 September 2021.
All research outputs
#5,627,217
of 23,287,285 outputs
Outputs from BMC Bioinformatics
#2,008
of 7,375 outputs
Outputs of similar age
#122,162
of 422,151 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 159 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,375 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 72% 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 422,151 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 70% of its contemporaries.
We're also able to compare this research output to 159 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 67% of its contemporaries.