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Identification of prognosis-related molecular subgroups based on DNA methylation in pancreatic cancer

Overview of attention for article published in Clinical Epigenetics, May 2021
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
5 Mendeley
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Title
Identification of prognosis-related molecular subgroups based on DNA methylation in pancreatic cancer
Published in
Clinical Epigenetics, May 2021
DOI 10.1186/s13148-021-01090-w
Pubmed ID
Authors

Xiaoli Yin, Lingming Kong, Peng Liu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 20%
Student > Postgraduate 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Arts and Humanities 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Engineering 1 20%
Unknown 2 40%

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 13 May 2021.
All research outputs
#16,496,887
of 18,644,511 outputs
Outputs from Clinical Epigenetics
#887
of 1,014 outputs
Outputs of similar age
#266,839
of 334,817 outputs
Outputs of similar age from Clinical Epigenetics
#1
of 1 outputs
Altmetric has tracked 18,644,511 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% 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 334,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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