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X Demographics
Mendeley readers
Attention Score in Context
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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 23% |
Student > Ph. D. Student | 5 | 13% |
Student > Doctoral Student | 4 | 10% |
Other | 4 | 10% |
Student > Master | 3 | 8% |
Other | 5 | 13% |
Unknown | 10 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 40% |
Nursing and Health Professions | 3 | 8% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Agricultural and Biological Sciences | 1 | 3% |
Computer Science | 1 | 3% |
Other | 6 | 15% |
Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 December 2022.
All research outputs
#7,112,127
of 24,717,821 outputs
Outputs from BMC Cancer
#1,830
of 8,762 outputs
Outputs of similar age
#71,429
of 259,488 outputs
Outputs of similar age from BMC Cancer
#28
of 147 outputs
Altmetric has tracked 24,717,821 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,762 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 78% 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 259,488 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 71% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.