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A randomized controlled study about the use of eHealth in the home health care of premature infants

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2013
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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 (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Citations

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77 Dimensions

Readers on

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239 Mendeley
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Title
A randomized controlled study about the use of eHealth in the home health care of premature infants
Published in
BMC Medical Informatics and Decision Making, February 2013
DOI 10.1186/1472-6947-13-22
Pubmed ID
Authors

Anna Gund, Bengt Arne Sjöqvist, Helena Wigert, Elisabet Hentz, Kaj Lindecrantz, Kristina Bry

Abstract

One area where the use of information and communication technology (ICT), or eHealth, could be developed is the home health care of premature infants. The aim of this randomized controlled study was to investigate whether the use of video conferencing or a web application improves parents' satisfaction in taking care of a premature infant at home and decreases the need of home visits. In addition, nurses' attitudes regarding the use of these tools were examined.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Germany 1 <1%
Portugal 1 <1%
Canada 1 <1%
Netherlands 1 <1%
Unknown 233 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 18%
Student > Bachelor 30 13%
Student > Ph. D. Student 27 11%
Researcher 19 8%
Student > Doctoral Student 15 6%
Other 42 18%
Unknown 63 26%
Readers by discipline Count As %
Nursing and Health Professions 52 22%
Medicine and Dentistry 52 22%
Social Sciences 13 5%
Computer Science 10 4%
Psychology 7 3%
Other 29 12%
Unknown 76 32%
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 29 November 2013.
All research outputs
#5,542,919
of 22,696,971 outputs
Outputs from BMC Medical Informatics and Decision Making
#484
of 1,980 outputs
Outputs of similar age
#60,270
of 285,469 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 39 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 285,469 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 78% of its contemporaries.
We're also able to compare this research output to 39 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 56% of its contemporaries.