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Integrating the results of user research into medical device development: insights from a case study

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2012
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Mentioned by

twitter
3 tweeters

Citations

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41 Dimensions

Readers on

mendeley
115 Mendeley
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Title
Integrating the results of user research into medical device development: insights from a case study
Published in
BMC Medical Informatics and Decision Making, July 2012
DOI 10.1186/1472-6947-12-74
Pubmed ID
Authors

Jennifer L Martin, Julie Barnett

Abstract

It is well established that considering users is an important aspect of medical device development. However it is also well established that there are numerous barriers to successfully conducting user research and integrating the results into product development. It is not sufficient to simply conduct user research, it must also be effectively integrated into product development.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
France 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 108 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 29%
Researcher 17 15%
Student > Ph. D. Student 16 14%
Student > Bachelor 15 13%
Student > Doctoral Student 10 9%
Other 19 17%
Unknown 5 4%
Readers by discipline Count As %
Engineering 29 25%
Design 14 12%
Computer Science 12 10%
Medicine and Dentistry 11 10%
Nursing and Health Professions 10 9%
Other 27 23%
Unknown 12 10%

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 December 2019.
All research outputs
#9,149,012
of 16,522,185 outputs
Outputs from BMC Medical Informatics and Decision Making
#779
of 1,502 outputs
Outputs of similar age
#63,776
of 129,799 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 16,522,185 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,502 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 45th percentile – i.e., 45% 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 129,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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