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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multifactorial Deep Learning Reveals Pan-Cancer Genomic Tumor Clusters with Distinct Immunogenomic Landscape and Response to Immunotherapy
|
|---|---|
| Published in |
Clinical Cancer Research, June 2020
|
| DOI | 10.1158/1078-0432.ccr-19-1744 |
| Pubmed ID | |
| Authors |
Feng Xie, Jianjun Zhang, Jiayin Wang, Alexandre Reuben, Wei Xu, Xin Yi, Frederick S. Varn, Yongsheng Ye, Junwen Cheng, Miao Yu, Yue Wang, Yufeng Liu, Mingchao Xie, Peng Du, Ke Ma, Xin Ma, Penghui Zhou, Shengli Yang, Yaobing Chen, Guoping Wang, Xuefeng Xia, Zhongxing Liao, John V. Heymach, Ignacio I. Wistuba, P. Andrew Futreal, Kai Ye, Chao Cheng, Tian Xia |
X Demographics
The data shown below were collected from the profiles of 45 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 | 6 | 13% |
| United Kingdom | 3 | 7% |
| Australia | 3 | 7% |
| Canada | 2 | 4% |
| Saudi Arabia | 2 | 4% |
| Spain | 2 | 4% |
| Italy | 2 | 4% |
| Turkey | 2 | 4% |
| Hong Kong | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 18 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 58% |
| Scientists | 18 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 17% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Master | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Other | 6 | 7% |
| Other | 11 | 12% |
| Unknown | 35 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 21% |
| Medicine and Dentistry | 11 | 12% |
| Computer Science | 7 | 8% |
| Unspecified | 3 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 41 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 16 June 2020.
All research outputs
#1,611,468
of 25,918,104 outputs
Outputs from Clinical Cancer Research
#1,138
of 13,369 outputs
Outputs of similar age
#45,792
of 436,746 outputs
Outputs of similar age from Clinical Cancer Research
#35
of 213 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. 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 436,746 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 89% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.