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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types
|
|---|---|
| Published in |
BMC Medical Genomics, February 2020
|
| DOI | 10.1186/s12920-020-0658-5 |
| Pubmed ID | |
| Authors |
Adham Beykikhoshk, Thomas P. Quinn, Samuel C. Lee, Truyen Tran, Svetha Venkatesh |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 20% |
| Researcher | 7 | 12% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 20% |
| Engineering | 8 | 13% |
| Medicine and Dentistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Unspecified | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 20 | 33% |
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 24 February 2020.
All research outputs
#13,635,902
of 23,861,043 outputs
Outputs from BMC Medical Genomics
#471
of 1,280 outputs
Outputs of similar age
#170,541
of 363,977 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 34 outputs
Altmetric has tracked 23,861,043 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,280 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 62% 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 363,977 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 52% of its contemporaries.
We're also able to compare this research output to 34 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 61% of its contemporaries.