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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Review of medical image recognition technologies to detect melanomas using neural networks
|
|---|---|
| Published in |
BMC Bioinformatics, September 2020
|
| DOI | 10.1186/s12859-020-03615-1 |
| Pubmed ID | |
| Authors |
Mila Efimenko, Alexander Ignatev, Konstantin Koshechkin |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 13% |
| France | 1 | 13% |
| United States | 1 | 13% |
| Sweden | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 9% |
| Student > Bachelor | 8 | 9% |
| Student > Ph. D. Student | 6 | 7% |
| Other | 5 | 6% |
| Researcher | 4 | 5% |
| Other | 15 | 18% |
| Unknown | 39 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 16% |
| Medicine and Dentistry | 11 | 13% |
| Engineering | 5 | 6% |
| Nursing and Health Professions | 4 | 5% |
| Psychology | 2 | 2% |
| Other | 11 | 13% |
| Unknown | 38 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 November 2020.
All research outputs
#6,302,589
of 23,622,736 outputs
Outputs from BMC Bioinformatics
#2,307
of 7,410 outputs
Outputs of similar age
#133,394
of 404,187 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 143 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,410 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 68% 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 404,187 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 143 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 65% of its contemporaries.