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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
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

twitter
9 tweeters
facebook
1 Facebook page

Readers on

mendeley
46 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.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 46 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 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 30%
Researcher 7 15%
Student > Ph. D. Student 7 15%
Other 4 9%
Student > Doctoral Student 2 4%
Other 8 17%
Unknown 4 9%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Nursing and Health Professions 8 17%
Social Sciences 7 15%
Psychology 7 15%
Computer Science 2 4%
Other 5 11%
Unknown 6 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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
#2,617,389
of 14,574,801 outputs
Outputs from BMC Medical Informatics and Decision Making
#262
of 1,336 outputs
Outputs of similar age
#22,241
of 129,377 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 14,574,801 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 80% 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 129,377 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 82% of its contemporaries.
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