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Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system

Overview of attention for article published in BMC Bioinformatics, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system
Published in
BMC Bioinformatics, April 2022
DOI 10.1186/s12859-022-04657-3
Pubmed ID
Authors

Zhiqiao Zhang, Liwen Huang, Jing Li, Peng Wang

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 5%
Lecturer 1 5%
Student > Postgraduate 1 5%
Unknown 17 85%
Readers by discipline Count As %
Computer Science 2 10%
Medicine and Dentistry 1 5%
Engineering 1 5%
Unknown 16 80%
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 09 April 2022.
All research outputs
#13,339,079
of 23,507,888 outputs
Outputs from BMC Bioinformatics
#3,853
of 7,404 outputs
Outputs of similar age
#176,039
of 444,186 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 117 outputs
Altmetric has tracked 23,507,888 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,404 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% 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 444,186 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 59% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.