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Combined model of radiomics, clinical, and imaging features for differentiating focal pneumonia-like lung cancer from pulmonary inflammatory lesions: an exploratory study

Overview of attention for article published in BMC Medical Imaging, May 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Combined model of radiomics, clinical, and imaging features for differentiating focal pneumonia-like lung cancer from pulmonary inflammatory lesions: an exploratory study
Published in
BMC Medical Imaging, May 2022
DOI 10.1186/s12880-022-00822-5
Pubmed ID
Authors

Jun-wei Gong, Zhu Zhang, Tian-you Luo, Xing-tao Huang, Chao-nan Zhu, Jun-wei Lv, Qi Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Researcher 1 17%
Unknown 4 67%
Readers by discipline Count As %
Business, Management and Accounting 1 17%
Medicine and Dentistry 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2022.
All research outputs
#14,194,875
of 22,753,345 outputs
Outputs from BMC Medical Imaging
#188
of 590 outputs
Outputs of similar age
#208,158
of 437,704 outputs
Outputs of similar age from BMC Medical Imaging
#5
of 25 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 590 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 437,704 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.