The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Memory-aware curriculum federated learning for breast cancer classification
|
|---|---|
| Published in |
Computer Methods & Programs in Biomedicine, December 2022
|
| DOI | 10.1016/j.cmpb.2022.107318 |
| Pubmed ID | |
| Authors |
Amelia Jiménez-Sánchez, Mickael Tardy, Miguel A González Ballester, Diana Mateus, Gemma Piella |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 23% |
| Japan | 1 | 5% |
| Unknown | 16 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 59% |
| Scientists | 8 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 11% |
| Unspecified | 9 | 9% |
| Researcher | 9 | 9% |
| Student > Bachelor | 8 | 8% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 14 | 14% |
| Unknown | 40 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 31% |
| Unspecified | 9 | 9% |
| Engineering | 7 | 7% |
| Medicine and Dentistry | 5 | 5% |
| Social Sciences | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 42 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 09 January 2023.
All research outputs
#2,320,498
of 26,391,552 outputs
Outputs from Computer Methods & Programs in Biomedicine
#37
of 2,130 outputs
Outputs of similar age
#48,884
of 496,185 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#1
of 52 outputs
Altmetric has tracked 26,391,552 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,130 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 496,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 52 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 98% of its contemporaries.