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American Association for Cancer Research

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Association of pre-diagnostic blood metabolomics with prostate cancer defined by ERG or PTEN molecular subtypes

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, February 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
6 tweeters
Title
Association of pre-diagnostic blood metabolomics with prostate cancer defined by ERG or PTEN molecular subtypes
Published in
Cancer Epidemiology, Biomarkers & Prevention, February 2021
DOI 10.1158/1055-9965.epi-20-1363
Pubmed ID
Authors

Xiaoshuang Feng, Cindy Ke Zhou, Clary B. Clish, Kathryn M. Wilson, Claire H Pernar, Barbra A. Dickerman, Massimo Loda, Stephen P Finn, Kathryn L. Penney, Daniel R. Schmidt, Matthew G. Vander Heiden, Edward L. Giovannucci, Ericka M Ebot, Lorelei A. Mucci

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 03 March 2021.
All research outputs
#9,372,488
of 17,389,828 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#2,210
of 3,946 outputs
Outputs of similar age
#115,337
of 267,078 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#29
of 59 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,946 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 43rd percentile – i.e., 43% 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 267,078 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 55% of its contemporaries.
We're also able to compare this research output to 59 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.