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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks
|
---|---|
Published in |
Frontiers in Genetics, January 2019
|
DOI | 10.3389/fgene.2019.00013 |
Pubmed ID | |
Authors |
Ping Luo, Yulian Ding, Xiujuan Lei, Fang-Xiang Wu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 127 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 15% |
Researcher | 16 | 13% |
Student > Master | 16 | 13% |
Student > Bachelor | 12 | 9% |
Student > Doctoral Student | 5 | 4% |
Other | 21 | 17% |
Unknown | 38 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 24% |
Biochemistry, Genetics and Molecular Biology | 18 | 14% |
Medicine and Dentistry | 11 | 9% |
Engineering | 9 | 7% |
Agricultural and Biological Sciences | 7 | 6% |
Other | 11 | 9% |
Unknown | 41 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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
#3,630,853
of 23,125,690 outputs
Outputs from Frontiers in Genetics
#1,080
of 12,169 outputs
Outputs of similar age
#83,219
of 438,408 outputs
Outputs of similar age from Frontiers in Genetics
#44
of 312 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,169 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 438,408 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 80% of its contemporaries.
We're also able to compare this research output to 312 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.