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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classification of Cancer Types Using Graph Convolutional Neural Networks
|
|---|---|
| Published in |
Frontiers in Physics, June 2020
|
| DOI | 10.3389/fphy.2020.00203 |
| Pubmed ID | |
| Authors |
Ricardo Ramirez, Yu-Chiao Chiu, Allen Hererra, Milad Mostavi, Joshua Ramirez, Yidong Chen, Yufei Huang, Yu-Fang Jin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 18% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 10 | 9% |
| Researcher | 6 | 5% |
| Student > Postgraduate | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 48 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 23% |
| Engineering | 10 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Unspecified | 2 | 2% |
| Other | 10 | 9% |
| Unknown | 51 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 January 2021.
All research outputs
#18,066,966
of 23,215,490 outputs
Outputs from Frontiers in Physics
#881
of 3,656 outputs
Outputs of similar age
#284,797
of 399,171 outputs
Outputs of similar age from Frontiers in Physics
#45
of 138 outputs
Altmetric has tracked 23,215,490 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,656 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 71% 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 399,171 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 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 66% of its contemporaries.