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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2021
|
| DOI | 10.1186/s12967-020-02692-3 |
| Pubmed ID | |
| Authors |
Huanhuan Liu, Hua Ren, Zengbin Wu, He Xu, Shuhai Zhang, Jinning Li, Liang Hou, Runmin Chi, Hui Zheng, Yanhong Chen, Shaofeng Duan, Huimin Li, Zongyu Xie, Dengbin Wang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 13% |
| Researcher | 11 | 12% |
| Student > Master | 9 | 9% |
| Student > Doctoral Student | 8 | 8% |
| Other | 7 | 7% |
| Other | 17 | 18% |
| Unknown | 31 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 29% |
| Computer Science | 11 | 12% |
| Nursing and Health Professions | 8 | 8% |
| Agricultural and Biological Sciences | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 4 | 4% |
| Unknown | 38 | 40% |
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 10 January 2021.
All research outputs
#20,676,689
of 23,271,751 outputs
Outputs from Journal of Translational Medicine
#3,398
of 4,103 outputs
Outputs of similar age
#429,524
of 503,269 outputs
Outputs of similar age from Journal of Translational Medicine
#80
of 95 outputs
Altmetric has tracked 23,271,751 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 4,103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 503,269 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 95 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.