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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer
|
|---|---|
| Published in |
BMC Genomics, March 2021
|
| DOI | 10.1186/s12864-021-07524-2 |
| Pubmed ID | |
| Authors |
Vidhi Malik, Yogesh Kalakoti, Durai Sundar |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 29% |
| India | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 14% |
| Researcher | 15 | 13% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 6 | 5% |
| Lecturer | 4 | 3% |
| Other | 14 | 12% |
| Unknown | 49 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 17% |
| Computer Science | 14 | 12% |
| Engineering | 6 | 5% |
| Medicine and Dentistry | 6 | 5% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 12 | 10% |
| Unknown | 53 | 46% |
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 26 March 2021.
All research outputs
#6,907,438
of 23,295,606 outputs
Outputs from BMC Genomics
#3,086
of 10,739 outputs
Outputs of similar age
#151,349
of 429,676 outputs
Outputs of similar age from BMC Genomics
#67
of 179 outputs
Altmetric has tracked 23,295,606 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,739 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 70% 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 429,676 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 64% of its contemporaries.
We're also able to compare this research output to 179 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 62% of its contemporaries.