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Discovering the molecular differences between right- and left-sided colon cancer using machine learning methods

Overview of attention for article published in BMC Cancer, October 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Discovering the molecular differences between right- and left-sided colon cancer using machine learning methods
Published in
BMC Cancer, October 2020
DOI 10.1186/s12885-020-07507-8
Pubmed ID
Authors

Yimei Jiang, Xiaowei Yan, Kun Liu, Yiqing Shi, Changgang Wang, Jiele Hu, You Li, Qinghua Wu, Ming Xiang, Ren Zhao

Twitter Demographics

The data shown below were collected from the profiles of 2 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 %
Researcher 2 18%
Student > Master 2 18%
Student > Bachelor 1 9%
Unspecified 1 9%
Other 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Immunology and Microbiology 2 18%
Unspecified 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Unknown 3 27%

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 21 October 2020.
All research outputs
#15,369,917
of 19,188,609 outputs
Outputs from BMC Cancer
#4,391
of 6,926 outputs
Outputs of similar age
#290,029
of 387,992 outputs
Outputs of similar age from BMC Cancer
#310
of 574 outputs
Altmetric has tracked 19,188,609 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,926 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 22nd percentile – i.e., 22% 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 387,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 574 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.