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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep learning-based ovarian cancer subtypes identification using multi-omics data
|
---|---|
Published in |
BioData Mining, August 2020
|
DOI | 10.1186/s13040-020-00222-x |
Pubmed ID | |
Authors |
Long-Yi Guo, Ai-Hua Wu, Yong-xia Wang, Li-ping Zhang, Hua Chai, Xue-Fang Liang |
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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 13% |
Student > Master | 9 | 13% |
Student > Doctoral Student | 5 | 7% |
Student > Ph. D. Student | 4 | 6% |
Lecturer | 2 | 3% |
Other | 7 | 10% |
Unknown | 31 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 22% |
Biochemistry, Genetics and Molecular Biology | 7 | 10% |
Medicine and Dentistry | 2 | 3% |
Agricultural and Biological Sciences | 2 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Other | 3 | 4% |
Unknown | 37 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 August 2020.
All research outputs
#15,175,374
of 23,341,064 outputs
Outputs from BioData Mining
#224
of 312 outputs
Outputs of similar age
#236,977
of 399,812 outputs
Outputs of similar age from BioData Mining
#4
of 5 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 312 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 399,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.