| Title |
Explaining the intention to use technology among university students: a structural equation modeling approach
|
|---|---|
| Published in |
Journal of Computing in Higher Education, June 2014
|
| DOI | 10.1007/s12528-014-9080-3 |
| Authors |
Timothy Teo, Mingming Zhou |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 418 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Canada | 2 | <1% |
| Indonesia | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 412 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 15% |
| Student > Master | 59 | 14% |
| Student > Bachelor | 35 | 8% |
| Lecturer | 23 | 6% |
| Student > Doctoral Student | 23 | 6% |
| Other | 79 | 19% |
| Unknown | 136 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 75 | 18% |
| Computer Science | 48 | 11% |
| Social Sciences | 46 | 11% |
| Economics, Econometrics and Finance | 15 | 4% |
| Arts and Humanities | 13 | 3% |
| Other | 78 | 19% |
| Unknown | 143 | 34% |
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 12 August 2014.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from Journal of Computing in Higher Education
#258
of 280 outputs
Outputs of similar age
#210,714
of 245,474 outputs
Outputs of similar age from Journal of Computing in Higher Education
#3
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 245,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.