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Machine learning-based survival rate prediction of Korean hepatocellular carcinoma patients using multi-center data

Overview of attention for article published in BMC Gastroenterology, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
7 tweeters

Readers on

mendeley
11 Mendeley
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Title
Machine learning-based survival rate prediction of Korean hepatocellular carcinoma patients using multi-center data
Published in
BMC Gastroenterology, February 2022
DOI 10.1186/s12876-022-02182-4
Pubmed ID
Authors

Byeonggwan Noh, Young Mok Park, Yujin Kwon, Chang In Choi, Byung Kwan Choi, Kwang il Seo, Yo-Han Park, Kwangho Yang, Sunju Lee, Taeyoung Ha, YunKyong Hyon, Myunghee Yoon

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Master 2 18%
Other 2 18%
Professor 1 9%
Unknown 4 36%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Biochemistry, Genetics and Molecular Biology 3 27%
Computer Science 1 9%
Unknown 3 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 March 2022.
All research outputs
#6,198,691
of 22,111,096 outputs
Outputs from BMC Gastroenterology
#363
of 1,677 outputs
Outputs of similar age
#111,857
of 339,149 outputs
Outputs of similar age from BMC Gastroenterology
#1
of 1 outputs
Altmetric has tracked 22,111,096 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,677 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 77% of its peers.
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 339,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
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