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American Association for Cancer Research

Genomic and Expression Analyses Define MUC17 and PCNX1 as Predictors of Chemotherapy Response in Breast Cancer

Overview of attention for article published in Molecular Cancer Therapeutics, March 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
20 Mendeley
Title
Genomic and Expression Analyses Define MUC17 and PCNX1 as Predictors of Chemotherapy Response in Breast Cancer
Published in
Molecular Cancer Therapeutics, March 2020
DOI 10.1158/1535-7163.mct-19-0940
Pubmed ID
Authors

Waleed S Al Amri, Lisa M Allinson, Diana E Baxter, Sandra M Bell, Andrew M Hanby, Stacey J Jones, Abeer M Shaaban, Lucy F Stead, Eldo T Verghese, Thomas A Hughes

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 4 20%
Student > Ph. D. Student 4 20%
Lecturer 1 5%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 7 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Chemistry 2 10%
Medicine and Dentistry 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Nursing and Health Professions 1 5%
Other 0 0%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 January 2021.
All research outputs
#6,495,210
of 23,191,112 outputs
Outputs from Molecular Cancer Therapeutics
#1,432
of 3,888 outputs
Outputs of similar age
#122,203
of 360,431 outputs
Outputs of similar age from Molecular Cancer Therapeutics
#19
of 49 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,888 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 360,431 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 65% of its contemporaries.
We're also able to compare this research output to 49 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 61% of its contemporaries.