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Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer

Overview of attention for article published in Respiratory Research, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer
Published in
Respiratory Research, June 2021
DOI 10.1186/s12931-021-01780-2
Pubmed ID
Authors

Bin Yang, Li Zhou, Jing Zhong, Tangfeng Lv, Ang Li, Lu Ma, Jian Zhong, Saisai Yin, Litang Huang, Changsheng Zhou, Xinyu Li, Ying Qian Ge, Xinwei Tao, Longjiang Zhang, Yong Son, Guangming Lu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 4 10%
Student > Bachelor 4 10%
Other 3 8%
Student > Doctoral Student 2 5%
Other 5 13%
Unknown 15 38%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Engineering 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 2 5%
Computer Science 2 5%
Other 3 8%
Unknown 16 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 June 2021.
All research outputs
#8,541,797
of 25,392,582 outputs
Outputs from Respiratory Research
#1,154
of 3,064 outputs
Outputs of similar age
#174,693
of 453,773 outputs
Outputs of similar age from Respiratory Research
#23
of 75 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,064 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 56% 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 453,773 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.