↓ Skip to main content

American Association for Cancer Research

Article Metrics

Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, October 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
41 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
Title
Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area
Published in
Cancer Epidemiology, Biomarkers & Prevention, October 2020
DOI 10.1158/1055-9965.epi-20-1038
Pubmed ID
Authors

Lindsay J. Collin, Anne H. Gaglioti, Kristen M. Beyer, Yuhong Zhou, Miranda A. Moore, Rebecca Nash, Jeffrey M. Switchenko, Jasmine M. Miller-Kleinhenz, Kevin C. Ward, Lauren E. McCullough

Twitter Demographics

The data shown below were collected from the profiles of 41 tweeters 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 3 30%
Professor > Associate Professor 2 20%
Student > Master 1 10%
Student > Doctoral Student 1 10%
Other 0 0%
Readers by discipline Count As %
Social Sciences 2 20%
Unspecified 2 20%
Environmental Science 1 10%
Nursing and Health Professions 1 10%
Arts and Humanities 1 10%
Other 0 0%
Unknown 3 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 February 2021.
All research outputs
#745,413
of 16,936,654 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#296
of 3,877 outputs
Outputs of similar age
#29,165
of 383,824 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#8
of 91 outputs
Altmetric has tracked 16,936,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 92% 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 383,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.