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Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma

Overview of attention for article published in BMC Cancer, November 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma
Published in
BMC Cancer, November 2021
DOI 10.1186/s12885-021-08947-6
Pubmed ID
Authors

Yong Tang, Chun Mei Yang, Song Su, Wei Jia Wang, Li Ping Fan, Jian Shu

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 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 %
Lecturer 2 11%
Student > Master 2 11%
Unspecified 1 5%
Student > Bachelor 1 5%
Other 1 5%
Other 2 11%
Unknown 10 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 16%
Unspecified 1 5%
Computer Science 1 5%
Physics and Astronomy 1 5%
Social Sciences 1 5%
Other 0 0%
Unknown 12 63%
Attention Score in Context

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 02 December 2021.
All research outputs
#7,611,191
of 23,344,526 outputs
Outputs from BMC Cancer
#2,109
of 8,449 outputs
Outputs of similar age
#168,829
of 510,514 outputs
Outputs of similar age from BMC Cancer
#50
of 224 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,449 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 74% 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 510,514 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 224 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.