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Development and validation of a clinical prediction rule to identify suspected breast cancer: a prospective cohort study

Overview of attention for article published in BMC Cancer, October 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
26 Mendeley
Title
Development and validation of a clinical prediction rule to identify suspected breast cancer: a prospective cohort study
Published in
BMC Cancer, October 2014
DOI 10.1186/1471-2407-14-743
Pubmed ID
Authors

Rose Galvin, Doireann Joyce, Eithne Downey, Fiona Boland, Tom Fahey, Arnold K Hill

Abstract

The number of primary care referrals of women with breast symptoms to symptomatic breast units (SBUs) has increased exponentially in the past decade in Ireland. The aim of this study is to develop and validate a clinical prediction rule (CPR) to identify women with breast cancer so that a more evidence based approach to referral from primary care to these SBUs can be developed.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 31%
Unspecified 4 15%
Other 4 15%
Student > Ph. D. Student 3 12%
Student > Master 2 8%
Other 5 19%
Readers by discipline Count As %
Medicine and Dentistry 13 50%
Unspecified 4 15%
Agricultural and Biological Sciences 1 4%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Other 6 23%

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 03 October 2014.
All research outputs
#7,762,273
of 12,372,945 outputs
Outputs from BMC Cancer
#2,227
of 4,558 outputs
Outputs of similar age
#109,929
of 215,668 outputs
Outputs of similar age from BMC Cancer
#8
of 19 outputs
Altmetric has tracked 12,372,945 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,558 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% 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 215,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.