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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2020
|
| DOI | 10.1186/s12911-020-01225-8 |
| Pubmed ID | |
| Authors |
Li Tong, Jonathan Mitchel, Kevin Chatlin, May D. Wang |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 12% |
| Student > Master | 9 | 9% |
| Researcher | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Lecturer | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 52 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 17% |
| Biochemistry, Genetics and Molecular Biology | 14 | 14% |
| Business, Management and Accounting | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Arts and Humanities | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 56 | 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 09 August 2023.
All research outputs
#7,548,829
of 24,293,076 outputs
Outputs from BMC Medical Informatics and Decision Making
#724
of 2,071 outputs
Outputs of similar age
#155,489
of 407,045 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 54 outputs
Altmetric has tracked 24,293,076 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,071 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 63% 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 407,045 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 61% of its contemporaries.
We're also able to compare this research output to 54 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 64% of its contemporaries.