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Development of a personalized decision aid for breast cancer risk reduction and management

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 1,332)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
6 news outlets
twitter
1 tweeter

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
120 Mendeley
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Title
Development of a personalized decision aid for breast cancer risk reduction and management
Published in
BMC Medical Informatics and Decision Making, January 2014
DOI 10.1186/1472-6947-14-4
Pubmed ID
Authors

Elissa M Ozanne, Rebecca Howe, Zehra Omer, Laura J Esserman

Abstract

Breast cancer risk reduction has the potential to decrease the incidence of the disease, yet remains underused. We report on the development a web-based tool that provides automated risk assessment and personalized decision support designed for collaborative use between patients and clinicians.

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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 24%
Student > Ph. D. Student 22 18%
Student > Master 18 15%
Student > Doctoral Student 8 7%
Student > Bachelor 8 7%
Other 25 21%
Unknown 10 8%
Readers by discipline Count As %
Medicine and Dentistry 36 30%
Psychology 13 11%
Social Sciences 12 10%
Nursing and Health Professions 10 8%
Agricultural and Biological Sciences 9 8%
Other 25 21%
Unknown 15 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 18 March 2019.
All research outputs
#386,012
of 14,515,669 outputs
Outputs from BMC Medical Informatics and Decision Making
#11
of 1,332 outputs
Outputs of similar age
#6,602
of 248,588 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 3 outputs
Altmetric has tracked 14,515,669 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,332 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 248,588 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 97% of its contemporaries.
We're also able to compare this research output to 3 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