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A dialogue-based web application enhances personalized access to healthcare professionals – an intervention study

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
1 CiteULike
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Title
A dialogue-based web application enhances personalized access to healthcare professionals – an intervention study
Published in
BMC Medical Informatics and Decision Making, September 2012
DOI 10.1186/1472-6947-12-96
Pubmed ID
Authors

Charlotte D Bjoernes, Birgitte S Laursen, Charlotte Delmar, Elizabeth Cummings, Christian Nøhr

Abstract

In today's short stay hospital settings the contact time for patients is reduced. However, it seems to be more important for the patients that the healthcare professionals are easy to get in contact with during the whole course of treatment, and to have the opportunity to exchange information, as a basis for obtaining individualized information and support. Therefore, the aim was to explore the ability of a dialogue-based application to contribute to accessibility of the healthcare professionals and exchangeability of information.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 26%
Researcher 7 13%
Student > Ph. D. Student 6 11%
Other 4 7%
Student > Doctoral Student 3 6%
Other 9 17%
Unknown 11 20%
Readers by discipline Count As %
Medicine and Dentistry 12 22%
Nursing and Health Professions 8 15%
Social Sciences 7 13%
Psychology 6 11%
Computer Science 3 6%
Other 5 9%
Unknown 13 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 March 2013.
All research outputs
#4,669,060
of 22,675,759 outputs
Outputs from BMC Medical Informatics and Decision Making
#434
of 1,978 outputs
Outputs of similar age
#33,922
of 169,085 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 42 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 77% of its peers.
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 169,085 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.