Title |
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
|
---|---|
Published in |
Genome Medicine, July 2021
|
DOI | 10.1186/s13073-021-00930-x |
Pubmed ID | |
Authors |
Olivier B. Poirion, Zheng Jing, Kumardeep Chaudhary, Sijia Huang, Lana X. Garmire |
X Demographics
The data shown below were collected from the profiles of 95 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 | 19 | 20% |
India | 6 | 6% |
Spain | 4 | 4% |
Canada | 3 | 3% |
United Kingdom | 2 | 2% |
Brazil | 2 | 2% |
New Zealand | 1 | 1% |
Tanzania, United Republic of | 1 | 1% |
Comoros | 1 | 1% |
Other | 11 | 12% |
Unknown | 45 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 78 | 82% |
Scientists | 17 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 157 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 11% |
Student > Master | 14 | 9% |
Researcher | 13 | 8% |
Other | 8 | 5% |
Student > Bachelor | 7 | 4% |
Other | 22 | 14% |
Unknown | 76 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 15% |
Biochemistry, Genetics and Molecular Biology | 14 | 9% |
Medicine and Dentistry | 10 | 6% |
Engineering | 8 | 5% |
Agricultural and Biological Sciences | 5 | 3% |
Other | 14 | 9% |
Unknown | 83 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 July 2022.
All research outputs
#894,524
of 25,750,437 outputs
Outputs from Genome Medicine
#171
of 1,611 outputs
Outputs of similar age
#22,225
of 448,677 outputs
Outputs of similar age from Genome Medicine
#5
of 41 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done well, scoring higher than 89% 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 448,677 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 95% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.