| Title |
A platform for creating Smartphone apps to enhance Chinese learning using augmented reality
|
|---|---|
| Published in |
Scientific Phone Apps and Mobile Devices, April 2016
|
| DOI | 10.1186/s41070-016-0007-4 |
| Authors |
Yiqun Li, Aiyuan Guo, Ching Ling Chin, Joo-Hwee Lim |
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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 17% |
| Lecturer | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Social Sciences | 2 | 11% |
| Arts and Humanities | 1 | 6% |
| Linguistics | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 6 | 33% |
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 July 2016.
All research outputs
#18,465,988
of 22,880,691 outputs
Outputs from Scientific Phone Apps and Mobile Devices
#27
of 34 outputs
Outputs of similar age
#219,060
of 299,139 outputs
Outputs of similar age from Scientific Phone Apps and Mobile Devices
#5
of 5 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 34 research outputs from this source. They receive a mean Attention Score of 3.3. This one scored the same or higher as 7 of them.
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 299,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.