↓ Skip to main content

Predicting healthcare professionals’ acceptance towards electronic personal health record systems in a resource-limited setting: using modified technology acceptance model

Overview of attention for article published in BMJ Health & Care Informatics, March 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
74 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Predicting healthcare professionals’ acceptance towards electronic personal health record systems in a resource-limited setting: using modified technology acceptance model
Published in
BMJ Health & Care Informatics, March 2023
DOI 10.1136/bmjhci-2022-100707
Pubmed ID
Authors

Agmasie Damtew Walle, Tigist Andargie Ferede, Nebebe Demis Baykemagn, Aynadis Worku Shimie, Shimels Derso Kebede, Masresha Derese Tegegne, Sisay Maru Wubante, Chalachew Msganaw Yehula, Addisalem Workie Demsash, Mequannent Sharew Melaku, Muluken Belachew Mengistie

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 7 9%
Other 4 5%
Student > Ph. D. Student 4 5%
Student > Bachelor 3 4%
Student > Doctoral Student 2 3%
Other 8 11%
Unknown 46 62%
Readers by discipline Count As %
Nursing and Health Professions 12 16%
Business, Management and Accounting 2 3%
Engineering 2 3%
Computer Science 2 3%
Social Sciences 2 3%
Other 6 8%
Unknown 48 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 March 2023.
All research outputs
#17,616,275
of 26,617,918 outputs
Outputs from BMJ Health & Care Informatics
#387
of 517 outputs
Outputs of similar age
#243,076
of 434,868 outputs
Outputs of similar age from BMJ Health & Care Informatics
#15
of 18 outputs
Altmetric has tracked 26,617,918 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 517 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 434,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.