↓ Skip to main content

Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

Overview of attention for article published in Journal of Big Data, January 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
478 Mendeley
Title
Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change
Published in
Journal of Big Data, January 2019
DOI 10.1186/s40537-019-0170-y
Authors

Muhammad Shahbaz, Changyuan Gao, LiLi Zhai, Fakhar Shahzad, Yanling Hu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 478 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 478 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 14%
Student > Master 59 12%
Student > Doctoral Student 30 6%
Student > Bachelor 30 6%
Lecturer 19 4%
Other 67 14%
Unknown 207 43%
Readers by discipline Count As %
Business, Management and Accounting 102 21%
Computer Science 62 13%
Social Sciences 18 4%
Engineering 17 4%
Nursing and Health Professions 11 2%
Other 56 12%
Unknown 212 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 January 2019.
All research outputs
#15,559,348
of 23,125,690 outputs
Outputs from Journal of Big Data
#206
of 346 outputs
Outputs of similar age
#265,501
of 437,790 outputs
Outputs of similar age from Journal of Big Data
#13
of 22 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 25th percentile – i.e., 25% 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 437,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.