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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A machine learning-based system for detecting leishmaniasis in microscopic images
|
|---|---|
| Published in |
BMC Infectious Diseases, January 2022
|
| DOI | 10.1186/s12879-022-07029-7 |
| Pubmed ID | |
| Authors |
Mojtaba Zare, Hossein Akbarialiabad, Hossein Parsaei, Qasem Asgari, Ali Alinejad, Mohammad Saleh Bahreini, Seyed Hossein Hosseini, Mohsen Ghofrani-Jahromi, Reza Shahriarirad, Yalda Amirmoezzi, Sepehr Shahriarirad, Ali Zeighami, Gholamreza Abdollahifard |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 2 | 22% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Unspecified | 4 | 7% |
| Lecturer | 2 | 3% |
| Other | 2 | 3% |
| Other | 11 | 18% |
| Unknown | 32 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 10% |
| Medicine and Dentistry | 5 | 8% |
| Unspecified | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 33 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 January 2022.
All research outputs
#7,678,338
of 23,885,338 outputs
Outputs from BMC Infectious Diseases
#2,557
of 8,002 outputs
Outputs of similar age
#170,209
of 507,033 outputs
Outputs of similar age from BMC Infectious Diseases
#60
of 202 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 66% 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 507,033 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 66% of its contemporaries.
We're also able to compare this research output to 202 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 70% of its contemporaries.