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X Demographics
Mendeley readers
Attention Score in Context
Title |
CT Quantification of COVID-19 Pneumonia at Admission Can Predict Progression to Critical Illness: A Retrospective Multicenter Cohort Study
|
---|---|
Published in |
Frontiers in Medicine, June 2021
|
DOI | 10.3389/fmed.2021.689568 |
Pubmed ID | |
Authors |
Baoguo Pang, Haijun Li, Qin Liu, Penghui Wu, Tingting Xia, Xiaoxian Zhang, Wenjun Le, Jianyu Li, Lihua Lai, Changxing Ou, Jianjuan Ma, Shuai Liu, Fuling Zhou, Xinlu Wang, Jiaxing Xie, Qingling Zhang, Min Jiang, Yumei Liu, Qingsi Zeng |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 16% |
Student > Doctoral Student | 4 | 13% |
Student > Bachelor | 3 | 10% |
Student > Postgraduate | 2 | 6% |
Student > Ph. D. Student | 1 | 3% |
Other | 3 | 10% |
Unknown | 13 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 19% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Computer Science | 2 | 6% |
Unspecified | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 3 | 10% |
Unknown | 16 | 52% |
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 05 July 2021.
All research outputs
#18,143,395
of 23,308,124 outputs
Outputs from Frontiers in Medicine
#3,823
of 5,969 outputs
Outputs of similar age
#303,182
of 446,754 outputs
Outputs of similar age from Frontiers in Medicine
#256
of 412 outputs
Altmetric has tracked 23,308,124 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 5,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 30th percentile – i.e., 30% 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 446,754 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 412 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.