↓ Skip to main content

Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

Overview of attention for article published in BioMedical Engineering OnLine, February 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status
Published in
BioMedical Engineering OnLine, February 2023
DOI 10.1186/s12938-022-01049-9
Pubmed ID
Authors

Zefeng Liu, Tianyou Zhang, Liying Lin, Fenghua Long, Hongyu Guo, Li Han

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 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 > Master 3 50%
Lecturer 1 17%
Student > Bachelor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 33%
Computer Science 1 17%
Physics and Astronomy 1 17%
Engineering 1 17%
Unknown 1 17%
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 03 March 2023.
All research outputs
#20,861,471
of 23,477,147 outputs
Outputs from BioMedical Engineering OnLine
#707
of 835 outputs
Outputs of similar age
#285,996
of 365,873 outputs
Outputs of similar age from BioMedical Engineering OnLine
#10
of 12 outputs
Altmetric has tracked 23,477,147 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 835 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 365,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.