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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Real-time automatic prediction of treatment response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma using deep learning based on digital subtraction angiography videos
|
|---|---|
| Published in |
Cancer Imaging, May 2022
|
| DOI | 10.1186/s40644-022-00457-3 |
| Pubmed ID | |
| Authors |
Lu Zhang, Yicheng Jiang, Zhe Jin, Wenting Jiang, Bin Zhang, Changmiao Wang, Lingeng Wu, Luyan Chen, Qiuying Chen, Shuyi Liu, Jingjing You, Xiaokai Mo, Jing Liu, Zhiyuan Xiong, Tao Huang, Liyang Yang, Xiang Wan, Ge Wen, Xiao Guang Han, Weijun Fan, Shuixing Zhang |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| Netherlands | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Researcher | 3 | 14% |
| Unspecified | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Other | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Business, Management and Accounting | 2 | 10% |
| Unspecified | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 43% |
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 17 May 2022.
All research outputs
#15,754,982
of 25,392,582 outputs
Outputs from Cancer Imaging
#219
of 674 outputs
Outputs of similar age
#221,163
of 445,205 outputs
Outputs of similar age from Cancer Imaging
#2
of 10 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 64% 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 445,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.