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An interdisciplinary team communication framework and its application to healthcare 'e-teams' systems design

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2009
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Mentioned by

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2 X users

Citations

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55 Dimensions

Readers on

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174 Mendeley
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3 CiteULike
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2 Connotea
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Title
An interdisciplinary team communication framework and its application to healthcare 'e-teams' systems design
Published in
BMC Medical Informatics and Decision Making, September 2009
DOI 10.1186/1472-6947-9-43
Pubmed ID
Authors

Craig E Kuziemsky, Elizabeth M Borycki, Mary Ellen Purkis, Fraser Black, Michael Boyle, Denise Cloutier-Fisher, Lee Ann Fox, Patricia MacKenzie, Ann Syme, Coby Tschanz, Wendy Wainwright, Helen Wong, Interprofessional Practices Team (alphabetically)

Abstract

There are few studies that examine the processes that interdisciplinary teams engage in and how we can design health information systems (HIS) to support those team processes. This was an exploratory study with two purposes: (1) To develop a framework for interdisciplinary team communication based on structures, processes and outcomes that were identified as having occurred during weekly team meetings. (2) To use the framework to guide 'e-teams' HIS design to support interdisciplinary team meeting communication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 2 1%
Netherlands 1 <1%
France 1 <1%
Switzerland 1 <1%
Sweden 1 <1%
Argentina 1 <1%
New Zealand 1 <1%
Unknown 163 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 22%
Researcher 21 12%
Student > Ph. D. Student 21 12%
Student > Bachelor 20 11%
Student > Doctoral Student 10 6%
Other 40 23%
Unknown 24 14%
Readers by discipline Count As %
Medicine and Dentistry 36 21%
Nursing and Health Professions 34 20%
Business, Management and Accounting 17 10%
Social Sciences 16 9%
Computer Science 11 6%
Other 28 16%
Unknown 32 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 17 December 2015.
All research outputs
#14,172,739
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,982 outputs
Outputs of similar age
#75,862
of 92,490 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 5 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 92,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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.