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An empirical study to determine factors that motivate and limit the implementation Of ICT in healthcare environments

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2014
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
68 Mendeley
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Title
An empirical study to determine factors that motivate and limit the implementation Of ICT in healthcare environments
Published in
BMC Medical Informatics and Decision Making, December 2014
DOI 10.1186/1472-6947-14-98
Pubmed ID
Authors

Raj Gururajan, Abdul Hafeez-Baig

Abstract

The maturity and usage of wireless technology has influenced health services, and this has raised expectations from users that healthcare services will become more affordable due to technology growth. There is increasing evidence to justify this expectation, as telehealth is becoming more and more prevalent in many countries. Thus, health services are now offered beyond the boundaries of traditional hospitals, giving rise to many external factors dictating their quality. This has led us to investigate the factors that motivate and limit the implementation of ICT applications in the healthcare domain.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 21%
Student > Ph. D. Student 11 16%
Researcher 8 12%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Other 9 13%
Unknown 14 21%
Readers by discipline Count As %
Business, Management and Accounting 12 18%
Computer Science 12 18%
Social Sciences 8 12%
Medicine and Dentistry 7 10%
Engineering 5 7%
Other 8 12%
Unknown 16 24%

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 09 January 2017.
All research outputs
#3,952,877
of 22,775,504 outputs
Outputs from BMC Medical Informatics and Decision Making
#339
of 1,984 outputs
Outputs of similar age
#56,058
of 352,836 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 32 outputs
Altmetric has tracked 22,775,504 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 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 82% 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 352,836 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 84% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.