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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology
|
|---|---|
| Published in |
Frontiers in oncology, May 2021
|
| DOI | 10.3389/fonc.2021.666937 |
| Pubmed ID | |
| Authors |
Ken Asada, Syuzo Kaneko, Ken Takasawa, Hidenori Machino, Satoshi Takahashi, Norio Shinkai, Ryo Shimoyama, Masaaki Komatsu, Ryuji Hamamoto |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Doctoral Student | 3 | 6% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 21 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Medicine and Dentistry | 5 | 10% |
| Computer Science | 4 | 8% |
| Social Sciences | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 23 | 44% |
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 25 June 2022.
All research outputs
#16,173,449
of 25,655,374 outputs
Outputs from Frontiers in oncology
#5,585
of 22,758 outputs
Outputs of similar age
#246,512
of 456,079 outputs
Outputs of similar age from Frontiers in oncology
#278
of 1,267 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,758 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 74% 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 456,079 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,267 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.