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“Bribery with Chinese characteristics” and the use of guanxi to obtain admission to prestigious secondary schools in urban China

Overview of attention for article published in Critical Asian Studies, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
1 Mendeley
Title
“Bribery with Chinese characteristics” and the use of guanxi to obtain admission to prestigious secondary schools in urban China
Published in
Critical Asian Studies, December 2018
DOI 10.1080/14672715.2018.1548906
Authors

Ji Ruan

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Social Sciences 1 100%

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 09 December 2018.
All research outputs
#7,920,021
of 12,620,854 outputs
Outputs from Critical Asian Studies
#134
of 177 outputs
Outputs of similar age
#169,249
of 282,572 outputs
Outputs of similar age from Critical Asian Studies
#5
of 6 outputs
Altmetric has tracked 12,620,854 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 177 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 13th percentile – i.e., 13% 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 282,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.