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A Wireless Health Outcomes Monitoring System (WHOMS): development and field testing with cancer patients using mobile phones

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2004
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Mentioned by

twitter
3 X users

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
132 Mendeley
citeulike
6 CiteULike
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Title
A Wireless Health Outcomes Monitoring System (WHOMS): development and field testing with cancer patients using mobile phones
Published in
BMC Medical Informatics and Decision Making, June 2004
DOI 10.1186/1472-6947-4-7
Pubmed ID
Authors

Emilia Bielli, Fabio Carminati, Stella La Capra, Micaela Lina, Cinzia Brunelli, Marcello Tamburini

Abstract

Health-Related Quality of Life assessment is widely used in clinical research, but rarely in clinical practice. Barriers including practical difficulties administering printed questionnaires have limited their use. Telehealth technology could reduce these barriers and encourage better doctor-patient interaction regarding patient symptoms and quality-of-life monitoring. The aim of this study was to develop a new system for transmitting patients' self-reported outcomes using mobile phones or the internet, and to test whether patients can and will use the system via a mobile phone.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 2 2%
Indonesia 1 <1%
Ireland 1 <1%
Colombia 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Spain 1 <1%
Australia 1 <1%
Other 0 0%
Unknown 119 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 18%
Student > Ph. D. Student 22 17%
Researcher 19 14%
Professor > Associate Professor 10 8%
Student > Bachelor 10 8%
Other 30 23%
Unknown 17 13%
Readers by discipline Count As %
Medicine and Dentistry 36 27%
Computer Science 18 14%
Social Sciences 12 9%
Nursing and Health Professions 11 8%
Psychology 11 8%
Other 20 15%
Unknown 24 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 August 2013.
All research outputs
#13,938,371
of 22,796,179 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,065
of 1,987 outputs
Outputs of similar age
#48,120
of 54,481 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 5 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,987 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 54,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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.