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Boundaries and e-health implementation in health and social care

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)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
14 X users
facebook
1 Facebook page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
206 Mendeley
citeulike
1 CiteULike
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Title
Boundaries and e-health implementation in health and social care
Published in
BMC Medical Informatics and Decision Making, September 2012
DOI 10.1186/1472-6947-12-100
Pubmed ID
Authors

Gerry King, Catherine O’Donnell, David Boddy, Fiona Smith, David Heaney, Frances S Mair

Abstract

The major problem facing health and social care systems globally today is the growing challenge of an elderly population with complex health and social care needs. A longstanding challenge to the provision of high quality, effectively coordinated care for those with complex needs has been the historical separation of health and social care. Access to timely and accurate data about patients and their treatments has the potential to deliver better care at less cost.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 1%
United Kingdom 2 <1%
Colombia 1 <1%
Switzerland 1 <1%
Ireland 1 <1%
Australia 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Indonesia 1 <1%
Other 3 1%
Unknown 191 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 18%
Researcher 35 17%
Student > Ph. D. Student 30 15%
Student > Doctoral Student 17 8%
Student > Bachelor 15 7%
Other 34 17%
Unknown 37 18%
Readers by discipline Count As %
Medicine and Dentistry 37 18%
Social Sciences 30 15%
Nursing and Health Professions 27 13%
Business, Management and Accounting 15 7%
Computer Science 13 6%
Other 40 19%
Unknown 44 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 04 October 2013.
All research outputs
#4,500,797
of 25,299,129 outputs
Outputs from BMC Medical Informatics and Decision Making
#360
of 2,138 outputs
Outputs of similar age
#30,302
of 177,263 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 42 outputs
Altmetric has tracked 25,299,129 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,138 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 83% 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 177,263 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 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.