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CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia

Overview of attention for article published in BMC Medical Imaging, February 2021
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Mentioned by

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2 X users

Readers on

mendeley
36 Mendeley
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Title
CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia
Published in
BMC Medical Imaging, February 2021
DOI 10.1186/s12880-021-00564-w
Pubmed ID
Authors

Yilong Huang, Zhenguang Zhang, Siyun Liu, Xiang Li, Yunhui Yang, Jiyao Ma, Zhipeng Li, Jialong Zhou, Yuanming Jiang, Bo He

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 11%
Unspecified 3 8%
Student > Master 3 8%
Researcher 3 8%
Student > Doctoral Student 2 6%
Other 8 22%
Unknown 13 36%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Unspecified 3 8%
Computer Science 3 8%
Nursing and Health Professions 2 6%
Social Sciences 2 6%
Other 4 11%
Unknown 14 39%
Attention Score in Context

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 28 February 2021.
All research outputs
#18,789,320
of 23,283,373 outputs
Outputs from BMC Medical Imaging
#375
of 614 outputs
Outputs of similar age
#318,772
of 420,998 outputs
Outputs of similar age from BMC Medical Imaging
#20
of 30 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 25th percentile – i.e., 25% 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 420,998 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.