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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq Data
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, August 2020
|
| DOI | 10.3389/fbioe.2020.00737 |
| Pubmed ID | |
| Authors |
Binsheng He, Yanxiang Zhang, Zhen Zhou, Bo Wang, Yuebin Liang, Jidong Lang, Huixin Lin, Pingping Bing, Lan Yu, Dejun Sun, Huaiqing Luo, Jialiang Yang, Geng Tian |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Researcher | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Student > Master | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 15 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Medicine and Dentistry | 3 | 11% |
| Nursing and Health Professions | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 16 | 59% |
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 28 August 2020.
All research outputs
#18,076,777
of 23,228,787 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,979
of 6,903 outputs
Outputs of similar age
#284,850
of 398,782 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#212
of 461 outputs
Altmetric has tracked 23,228,787 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 6,903 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 49th percentile – i.e., 49% 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 398,782 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 461 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.