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Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2010
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1 X user

Citations

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Title
Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship
Published in
BMC Medical Informatics and Decision Making, June 2010
DOI 10.1186/1472-6947-10-34
Pubmed ID
Authors

Andrew J Vickers, Talya Salz, Ethan Basch, Matthew R Cooperberg, Peter R Carroll, Foss Tighe, James Eastham, Raymond C Rosen

Abstract

We propose a novel framework for management of cancer survivorship: electronic patient Self-Assessment and Management (SAM). SAM is a framework for transfer of information to and from patients in such a way as to increase both the patient's and the health care provider's understanding of the patient's progress, and to help ensure that patient care follows best practice.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Switzerland 1 <1%
Sweden 1 <1%
France 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 93 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 19%
Student > Ph. D. Student 15 15%
Student > Master 11 11%
Student > Bachelor 8 8%
Professor > Associate Professor 8 8%
Other 21 21%
Unknown 20 20%
Readers by discipline Count As %
Medicine and Dentistry 36 35%
Agricultural and Biological Sciences 8 8%
Nursing and Health Professions 8 8%
Social Sciences 8 8%
Computer Science 5 5%
Other 12 12%
Unknown 25 25%
Attention Score in Context

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 26 March 2014.
All research outputs
#18,367,612
of 22,749,166 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,567
of 1,985 outputs
Outputs of similar age
#84,360
of 93,897 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 8 outputs
Altmetric has tracked 22,749,166 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 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 93,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.