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Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT

Overview of attention for article published in Journal of Translational Medicine, February 2022
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Mentioned by

twitter
1 tweeter

Citations

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2 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT
Published in
Journal of Translational Medicine, February 2022
DOI 10.1186/s12967-022-03262-5
Pubmed ID
Authors

Lilang Lv, Bowen Xin, Yichao Hao, Ziyi Yang, Junyan Xu, Lisheng Wang, Xiuying Wang, Shaoli Song, Xiaomao Guo

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 26%
Researcher 2 11%
Student > Ph. D. Student 1 5%
Lecturer 1 5%
Student > Master 1 5%
Other 0 0%
Unknown 9 47%
Readers by discipline Count As %
Unspecified 5 26%
Medicine and Dentistry 4 21%
Unknown 10 53%

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 February 2022.
All research outputs
#19,322,197
of 21,712,946 outputs
Outputs from Journal of Translational Medicine
#3,102
of 3,754 outputs
Outputs of similar age
#328,834
of 400,749 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 21,712,946 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 3,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 400,749 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 1 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