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Efficient 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer.

Overview of attention for article published in Quarterly Journal of Nuclear Medicine and Molecular Imaging, April 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 191)
  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Efficient 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer.
Published in
Quarterly Journal of Nuclear Medicine and Molecular Imaging, April 2022
DOI 10.23736/s1824-4785.22.03441-0
Pubmed ID
Authors

Dan Ruan, Janyao Fang, Xinyu Teng

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 38%
Student > Bachelor 1 13%
Lecturer 1 13%
Other 1 13%
Unknown 2 25%
Readers by discipline Count As %
Unspecified 3 38%
Medicine and Dentistry 2 25%
Business, Management and Accounting 1 13%
Unknown 2 25%
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 18 April 2022.
All research outputs
#16,297,667
of 25,738,558 outputs
Outputs from Quarterly Journal of Nuclear Medicine and Molecular Imaging
#40
of 191 outputs
Outputs of similar age
#235,001
of 448,802 outputs
Outputs of similar age from Quarterly Journal of Nuclear Medicine and Molecular Imaging
#1
of 3 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 77% 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 448,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them