| Title |
How effective are lexical richness measures for differentiations of vocabulary proficiency? A comprehensive examination with clustering analysis
|
|---|---|
| Published in |
Language Testing in Asia, September 2021
|
| DOI | 10.1186/s40468-021-00133-6 |
| Authors |
Yanhui Zhang, Weiping Wu |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Japan | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 13% |
| Other | 2 | 9% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 7 | 30% |
| Arts and Humanities | 3 | 13% |
| Unspecified | 1 | 4% |
| Social Sciences | 1 | 4% |
| Unknown | 11 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 September 2021.
All research outputs
#7,554,841
of 23,310,485 outputs
Outputs from Language Testing in Asia
#33
of 199 outputs
Outputs of similar age
#150,716
of 429,594 outputs
Outputs of similar age from Language Testing in Asia
#2
of 10 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 199 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 83% of its peers.
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 429,594 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
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 8 of them.