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CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS

Overview of attention for article published in Journal of Translational Medicine, January 2021
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Mentioned by

twitter
1 tweeter

Citations

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16 Dimensions

Readers on

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90 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 16%
Researcher 12 13%
Student > Master 8 9%
Student > Doctoral Student 8 9%
Other 7 8%
Other 17 19%
Unknown 24 27%
Readers by discipline Count As %
Medicine and Dentistry 24 27%
Computer Science 10 11%
Unspecified 8 9%
Nursing and Health Professions 7 8%
Engineering 3 3%
Other 9 10%
Unknown 29 32%

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
#17,659,567
of 19,934,082 outputs
Outputs from Journal of Translational Medicine
#3,044
of 3,500 outputs
Outputs of similar age
#394,921
of 470,366 outputs
Outputs of similar age from Journal of Translational Medicine
#286
of 324 outputs
Altmetric has tracked 19,934,082 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 3,500 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 470,366 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 324 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.