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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms
|
|---|---|
| Published in |
BioData Mining, January 2023
|
| DOI | 10.1186/s13040-023-00319-z |
| Pubmed ID | |
| Authors |
Peter Appiahene, Justice Williams Asare, Emmanuel Timmy Donkoh, Giovanni Dimauro, Rosalia Maglietta |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ghana | 1 | 33% |
| Germany | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Unspecified | 4 | 5% |
| Lecturer | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 43 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 16% |
| Engineering | 5 | 7% |
| Unspecified | 4 | 5% |
| Medicine and Dentistry | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 47 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 March 2023.
All research outputs
#14,260,657
of 24,343,193 outputs
Outputs from BioData Mining
#188
of 316 outputs
Outputs of similar age
#176,437
of 442,482 outputs
Outputs of similar age from BioData Mining
#5
of 6 outputs
Altmetric has tracked 24,343,193 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 316 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 442,482 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 59% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.