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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib
|
|---|---|
| Published in |
Frontiers in oncology, September 2020
|
| DOI | 10.3389/fonc.2020.593292 |
| Pubmed ID | |
| Authors |
Lei Zhang, Wei Xia, Zhi-Ping Yan, Jun-Hui Sun, Bin-Yan Zhong, Zhong-Heng Hou, Min-Jie Yang, Guan-Hui Zhou, Wan-Sheng Wang, Xing-Yu Zhao, Jun-Ming Jian, Peng Huang, Rui Zhang, Shen Zhang, Jia-Yi Zhang, Zhi Li, Xiao-Li Zhu, Xin Gao, Cai-Fang Ni |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 13 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 28% |
| Unspecified | 4 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 50% |
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 06 November 2020.
All research outputs
#23,183,846
of 25,838,141 outputs
Outputs from Frontiers in oncology
#16,264
of 22,812 outputs
Outputs of similar age
#375,485
of 434,126 outputs
Outputs of similar age from Frontiers in oncology
#424
of 672 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,812 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% 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 434,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 672 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.