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Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer

Overview of attention for article published in BMC Cancer, January 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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10 Mendeley
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Title
Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer
Published in
BMC Cancer, January 2023
DOI 10.1186/s12885-023-10534-w
Pubmed ID
Authors

Pengfei Tong, Danqi Sun, Guangqiang Chen, Jianming Ni, Yonggang Li

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 10%
Unknown 9 90%
Readers by discipline Count As %
Computer Science 1 10%
Medicine and Dentistry 1 10%
Unknown 8 80%
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 24 January 2023.
All research outputs
#20,742,744
of 23,344,526 outputs
Outputs from BMC Cancer
#6,618
of 8,449 outputs
Outputs of similar age
#319,569
of 408,221 outputs
Outputs of similar age from BMC Cancer
#109
of 164 outputs
Altmetric has tracked 23,344,526 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 8,449 research outputs from this source. They receive a mean Attention Score of 4.4. 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 408,221 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 164 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.