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American Association for Cancer Research

Article Metrics

Preexisting Type 2 Diabetes and Survival among Patients with Colorectal Cancer

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, February 2021
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
3 Mendeley
Title
Preexisting Type 2 Diabetes and Survival among Patients with Colorectal Cancer
Published in
Cancer Epidemiology, Biomarkers & Prevention, February 2021
DOI 10.1158/1055-9965.epi-20-1083
Pubmed ID
Authors

Chen Yuan, Xuehong Zhang, Ana Babic, Vicente Morales-Oyarvide, Yin Zhang, Stephanie A. Smith-Warner, Kana Wu, Molin Wang, Brian M. Wolpin, Jeffrey A. Meyerhardt, Andrew T. Chan, Frank B. Hu, Charles S. Fuchs, Shuji Ogino, Edward L. Giovannucci, Kimmie Ng

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 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 %
Researcher 2 67%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Social Sciences 1 33%
Engineering 1 33%

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 01 March 2021.
All research outputs
#13,837,772
of 17,342,898 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#3,031
of 3,933 outputs
Outputs of similar age
#174,251
of 241,426 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#29
of 37 outputs
Altmetric has tracked 17,342,898 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 3,933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 16th percentile – i.e., 16% 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 241,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.