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Factors influencing the surgery intentions and choices of women with early breast cancer: the predictive utility of an extended theory of planned behaviour

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2013
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1 tweeter

Citations

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15 Dimensions

Readers on

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63 Mendeley
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Title
Factors influencing the surgery intentions and choices of women with early breast cancer: the predictive utility of an extended theory of planned behaviour
Published in
BMC Medical Informatics and Decision Making, August 2013
DOI 10.1186/1472-6947-13-92
Pubmed ID
Authors

Stephanie Sivell, Glyn Elwyn, Adrian Edwards, Antony S R Manstead

Abstract

Women diagnosed with early breast cancer (stage I or II) can be offered the choice between mastectomy or breast conservation surgery with radiotherapy due to equivalence in survival rates. A wide variation in the surgical management of breast cancer and a lack of theoretically guided research on this issue highlight the need for further research into the factors influencing women's choices. An extended Theory of Planned Behaviour (TPB) could provide a basis to understand and predict women's surgery choices. The aims of this study were to understand and predict the surgery intentions and choices of women newly diagnosed with early breast cancer, examining the predictive utility of an extended TPB.

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Ireland 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Master 9 14%
Researcher 7 11%
Student > Bachelor 5 8%
Other 4 6%
Other 13 21%
Unknown 15 24%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Business, Management and Accounting 6 10%
Psychology 6 10%
Nursing and Health Professions 5 8%
Social Sciences 5 8%
Other 8 13%
Unknown 18 29%

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 28 August 2013.
All research outputs
#9,934,101
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#927
of 1,122 outputs
Outputs of similar age
#105,056
of 153,897 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 3 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 2nd percentile – i.e., 2% 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 153,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
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.