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| Title |
A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia
|
|---|---|
| Published in |
Frontiers in Public Health, September 2020
|
| DOI | 10.3389/fpubh.2020.567672 |
| Pubmed ID | |
| Authors |
Chao Jin, Cong Tian, Yan Wang, Carol C. Wu, Huifang Zhao, Ting Liang, Zhe Liu, Zhijie Jian, Runqing Li, Zekun Wang, Fen Li, Jie Zhou, Shubo Cai, Yang Liu, Hao Li, Zhongyi Li, Yukun Liang, Heping Zhou, Xibin Wang, Zhuanqin Ren, Jian Yang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 13% |
| Other | 10 | 12% |
| Researcher | 9 | 11% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 29 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 37% |
| Nursing and Health Professions | 7 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Engineering | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 29 | 35% |
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 21 September 2020.
All research outputs
#20,648,640
of 23,243,271 outputs
Outputs from Frontiers in Public Health
#7,956
of 10,713 outputs
Outputs of similar age
#349,356
of 408,076 outputs
Outputs of similar age from Frontiers in Public Health
#243
of 305 outputs
Altmetric has tracked 23,243,271 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 10,713 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. 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 408,076 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 305 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.