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The anxious wait: assessing the impact of patient accessible EHRs for breast cancer patients

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
144 Mendeley
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Title
The anxious wait: assessing the impact of patient accessible EHRs for breast cancer patients
Published in
BMC Medical Informatics and Decision Making, September 2010
DOI 10.1186/1472-6947-10-46
Pubmed ID
Authors

David Wiljer, Kevin J Leonard, Sara Urowitz, Emma Apatu, Christine Massey, Naa Kwarley Quartey, Pamela Catton

Abstract

Personal health records (PHRs) provide patients with access to personal health information (PHI) and targeted education. The use of PHRs has the potential to improve a wide range of outcomes, including empowering patients to be more active participants in their care. There are a number of widespread barriers to adoption, including privacy and security considerations. In addition, there are clinical concerns that patients could become anxious or distressed when accessing complex medical information. This study assesses the implementation of a PHR, and its impact on anxiety levels and perceptions of self-efficacy in a sample of breast cancer patients.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 4 3%
United States 3 2%
United Kingdom 3 2%
Qatar 1 <1%
Australia 1 <1%
Unknown 132 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 22%
Student > Ph. D. Student 24 17%
Researcher 20 14%
Student > Bachelor 12 8%
Student > Postgraduate 9 6%
Other 29 20%
Unknown 18 13%
Readers by discipline Count As %
Medicine and Dentistry 46 32%
Psychology 17 12%
Computer Science 15 10%
Nursing and Health Professions 12 8%
Social Sciences 8 6%
Other 26 18%
Unknown 20 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 25 April 2018.
All research outputs
#815,777
of 12,852,852 outputs
Outputs from BMC Medical Informatics and Decision Making
#56
of 1,162 outputs
Outputs of similar age
#7,698
of 124,707 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 12,852,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,162 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 95% 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 124,707 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 93% of its contemporaries.
We're also able to compare this research output to 1 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