| Title |
Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study
|
|---|---|
| Published in |
BMC Medical Imaging, October 2020
|
| DOI | 10.1186/s12880-020-00513-z |
| Pubmed ID | |
| Authors |
Yixing Yu, Ximing Wang, Min Li, Lan Gu, Zongyu Xie, Wenhao Gu, Feng Xu, Yaxing Bao, Rongrong Liu, Su Hu, Mengjie Hu, Chunhong Hu |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 16% |
| Researcher | 8 | 12% |
| Other | 8 | 12% |
| Student > Master | 7 | 10% |
| Lecturer | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 23 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 29% |
| Nursing and Health Professions | 6 | 9% |
| Agricultural and Biological Sciences | 2 | 3% |
| Economics, Econometrics and Finance | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 11 | 16% |
| Unknown | 26 | 38% |
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 04 October 2020.
All research outputs
#18,090,068
of 23,245,494 outputs
Outputs from BMC Medical Imaging
#341
of 613 outputs
Outputs of similar age
#293,367
of 412,242 outputs
Outputs of similar age from BMC Medical Imaging
#2
of 10 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 613 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 38th percentile – i.e., 38% 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 412,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% 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.