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A population-based predictive model identifying optimal candidates for primary and metastasis resection in patients with colorectal cancer with liver metastatic

Overview of attention for article published in Frontiers in oncology, October 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
5 Mendeley
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Title
A population-based predictive model identifying optimal candidates for primary and metastasis resection in patients with colorectal cancer with liver metastatic
Published in
Frontiers in oncology, October 2022
DOI 10.3389/fonc.2022.899659
Pubmed ID
Authors

Xin Jin, Yibin Wu, Yun Feng, Zhenhai Lin, Ning Zhang, Bingran Yu, Anrong Mao, Ti Zhang, Weiping Zhu, Lu Wang

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 40%
Professor 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Biochemistry, Genetics and Molecular Biology 1 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Unknown 1 20%
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 October 2022.
All research outputs
#20,591,909
of 26,179,695 outputs
Outputs from Frontiers in oncology
#9,615
of 22,919 outputs
Outputs of similar age
#310,871
of 445,510 outputs
Outputs of similar age from Frontiers in oncology
#788
of 1,712 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,919 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 49th percentile – i.e., 49% 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 445,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,712 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.