| Title |
Collaborative filtering for expansion of learner’s background knowledge in online language learning: does “top-down” processing improve vocabulary proficiency?
|
|---|---|
| Published in |
Educational technology research and development, July 2014
|
| DOI | 10.1007/s11423-014-9344-7 |
| Authors |
Masanori Yamada, Satoshi Kitamura, Hideya Matsukawa, Tadashi Misono, Noriko Kitani, Yuhei Yamauchi |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 52 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Student > Master | 11 | 20% |
| Student > Doctoral Student | 4 | 7% |
| Lecturer | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 12 | 22% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 26% |
| Social Sciences | 10 | 19% |
| Linguistics | 8 | 15% |
| Psychology | 6 | 11% |
| Mathematics | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 10 | 19% |
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 19 October 2014.
All research outputs
#14,218,560
of 23,911,072 outputs
Outputs from Educational technology research and development
#492
of 1,048 outputs
Outputs of similar age
#112,765
of 232,168 outputs
Outputs of similar age from Educational technology research and development
#6
of 10 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,048 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 232,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.