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Designing privacy-friendly digital whiteboards for mediation of clinical progress

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2014
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1 tweeter

Citations

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Readers on

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40 Mendeley
Title
Designing privacy-friendly digital whiteboards for mediation of clinical progress
Published in
BMC Medical Informatics and Decision Making, April 2014
DOI 10.1186/1472-6947-14-27
Pubmed ID
Authors

Erlend Andreas Gjære, Børge Lillebo

Abstract

In hospitals, digital versions of dry-erase whiteboards are increasingly becoming more common. One of the purposes with such whiteboards is to support coordination of care by augmenting visibility and availability of clinical information. However, clinical information usually concerns patients and is regarded as sensitive personal health information, meaning that it should be access controlled. The purpose of this study is to explore how digital whiteboards can be designed for supporting coordination of care, by providing clinicians with useful information in a usable way, and at the same time protect patient privacy.

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

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Denmark 1 3%
Italy 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 23%
Student > Ph. D. Student 8 20%
Researcher 5 13%
Student > Bachelor 5 13%
Student > Postgraduate 4 10%
Other 6 15%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Computer Science 9 23%
Social Sciences 7 18%
Nursing and Health Professions 4 10%
Business, Management and Accounting 4 10%
Other 3 8%
Unknown 3 8%

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 09 April 2014.
All research outputs
#3,039,336
of 4,507,778 outputs
Outputs from BMC Medical Informatics and Decision Making
#617
of 754 outputs
Outputs of similar age
#71,359
of 107,229 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#25
of 28 outputs
Altmetric has tracked 4,507,778 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 3rd percentile – i.e., 3% 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 107,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.