| Title |
Winds and tigers: metaphor choice in China’s anti-corruption discourse
|
|---|---|
| Published in |
Lingua Sinica, January 2017
|
| DOI | 10.1186/s40655-016-0017-9 |
| Authors |
Zhuo Jing-Schmidt, Xinjia Peng |
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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 21% |
| Student > Ph. D. Student | 7 | 18% |
| Lecturer | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 13 | 34% |
| Arts and Humanities | 9 | 24% |
| Social Sciences | 4 | 11% |
| Economics, Econometrics and Finance | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 24% |
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 03 November 2022.
All research outputs
#8,113,904
of 25,727,480 outputs
Outputs from Lingua Sinica
#2
of 7 outputs
Outputs of similar age
#137,387
of 423,486 outputs
Outputs of similar age from Lingua Sinica
#1
of 1 outputs
Altmetric has tracked 25,727,480 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 7 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 5 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 423,486 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 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them