| Title |
DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
|
|---|---|
| Published in |
Oncogenesis, August 2019
|
| DOI | 10.1038/s41389-019-0157-8 |
| Pubmed ID | |
| Authors |
Feng Gao, Wei Wang, Miaomiao Tan, Lina Zhu, Yuchen Zhang, Evelyn Fessler, Louis Vermeulen, Xin Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 205 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 23% |
| Researcher | 32 | 16% |
| Student > Master | 24 | 12% |
| Student > Bachelor | 11 | 5% |
| Professor | 6 | 3% |
| Other | 25 | 12% |
| Unknown | 60 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 20% |
| Biochemistry, Genetics and Molecular Biology | 36 | 18% |
| Medicine and Dentistry | 14 | 7% |
| Engineering | 11 | 5% |
| Agricultural and Biological Sciences | 8 | 4% |
| Other | 23 | 11% |
| Unknown | 72 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 19 July 2021.
All research outputs
#4,114,466
of 23,230,825 outputs
Outputs from Oncogenesis
#70
of 586 outputs
Outputs of similar age
#74,003
of 312,836 outputs
Outputs of similar age from Oncogenesis
#2
of 10 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 586 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 88% 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 312,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.