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External validation of models for predicting risk of colorectal cancer using the China Kadoorie Biobank

Overview of attention for article published in BMC Medicine, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
External validation of models for predicting risk of colorectal cancer using the China Kadoorie Biobank
Published in
BMC Medicine, September 2022
DOI 10.1186/s12916-022-02488-w
Pubmed ID
Authors

Roxanna E. Abhari, Blake Thomson, Ling Yang, Iona Millwood, Yu Guo, Xiaoming Yang, Jun Lv, Daniel Avery, Pei Pei, Peng Wen, Canqing Yu, Yiping Chen, Junshi Chen, Liming Li, Zhengming Chen, Christiana Kartsonaki

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Environmental Science 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 September 2022.
All research outputs
#13,172,563
of 23,322,258 outputs
Outputs from BMC Medicine
#2,770
of 3,508 outputs
Outputs of similar age
#159,807
of 435,640 outputs
Outputs of similar age from BMC Medicine
#88
of 132 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one is in the 20th percentile – i.e., 20% 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 435,640 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 62% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.