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CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses

Overview of attention for article published in Cancer Imaging, December 2018
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1 X user

Citations

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70 Dimensions

Readers on

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61 Mendeley
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Title
CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses
Published in
Cancer Imaging, December 2018
DOI 10.1186/s40644-018-0184-2
Pubmed ID
Authors

Dongdong Mei, Yan Luo, Yan Wang, Jingshan Gong

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Researcher 5 8%
Student > Postgraduate 5 8%
Student > Ph. D. Student 5 8%
Other 4 7%
Other 10 16%
Unknown 22 36%
Readers by discipline Count As %
Medicine and Dentistry 25 41%
Computer Science 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Physics and Astronomy 2 3%
Nursing and Health Professions 1 2%
Other 4 7%
Unknown 24 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 04 January 2019.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Cancer Imaging
#445
of 674 outputs
Outputs of similar age
#339,673
of 444,356 outputs
Outputs of similar age from Cancer Imaging
#7
of 11 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 10th percentile – i.e., 10% 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 444,356 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 11 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.