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An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern

Overview of attention for article published in BMC Medical Informatics and Decision Making, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
138 Mendeley
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Title
An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern
Published in
BMC Medical Informatics and Decision Making, May 2016
DOI 10.1186/s12911-016-0289-0
Pubmed ID
Authors

Md Rakibul Hoque

Abstract

mHealth has become a valuable tool for providing health care services in developing countries. Despite the potential benefits of mHealth, its adoption remains a very challenge in developing countries like Bangladesh. The aim of this study is to investigate the factors that affect the adoption of mHealth services in Bangladesh using Extended Technology Acceptance Model (TAM). Data were collected from over 250 respondents in Dhaka, Bangladesh. The data were analyzed using the Partial Least Squares (PLS) method, a statistical analysis technique based on the Structural Equation Modeling (SEM). The study found that perceived ease of use, perceived usefulness and subjective norm (p < 0.05) had significant positive impact on the intention to adopt mHealth services. Surprisingly, the effects of personal innovativeness in IT (p > 0.05) on mHealth adoption were insignificant. This study also revealed that gender was strongly associated with the adoption and use of mHealth in developing countries. The findings of this study can be used by government, policy makers, and mobile phone Company to maximize the acceptance of mHealth services in Bangladesh. The paper concludes with a discussion of research results and draws several implications for future research.

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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 21%
Student > Master 28 20%
Researcher 12 9%
Student > Doctoral Student 10 7%
Student > Bachelor 10 7%
Other 33 24%
Unknown 16 12%
Readers by discipline Count As %
Computer Science 26 19%
Business, Management and Accounting 20 14%
Medicine and Dentistry 19 14%
Social Sciences 17 12%
Nursing and Health Professions 7 5%
Other 28 20%
Unknown 21 15%

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 19 May 2016.
All research outputs
#2,298,235
of 14,564,701 outputs
Outputs from BMC Medical Informatics and Decision Making
#228
of 1,335 outputs
Outputs of similar age
#51,244
of 260,891 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 14,564,701 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,335 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 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 260,891 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 80% 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