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Reality Check for the Chinese Microblog Space: A Random Sampling Approach

Overview of attention for article published in PLOS ONE, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

policy
1 policy source
twitter
23 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
93 Mendeley
citeulike
1 CiteULike
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Title
Reality Check for the Chinese Microblog Space: A Random Sampling Approach
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058356
Pubmed ID
Authors

King-wa Fu, Michael Chau

Abstract

Chinese microblogs have drawn global attention to this online application's potential impact on the country's social and political environment. However, representative and reliable statistics on Chinese microbloggers are limited. Using a random sampling approach, this study collected Chinese microblog data from the service provider, analyzing the profile and the pattern of usage for 29,998 microblog accounts. From our analysis, 57.4% (95% CI 56.9%,58.0%) of the accounts' timelines were empty. Among the 12,774 non-zero statuses samples, 86.9% (95% CI 86.2%,87.4%) did not make original post in a 7-day study period. By contrast, 0.51% (95% CI 0.4%,0.65%) wrote twenty or more original posts and 0.45% (95% CI 0.35%,0.60%) reposted more than 40 unique messages within the 7-day period. A small group of microbloggers created a majority of contents and drew other users' attention. About 4.8% (95% CI 4.4%,5.2%) of the 12,774 users contributed more than 80% (95% CI,78.6%,80.3%) of the original posts and about 4.8% (95% CI 4.5%,5.2%) managed to create posts that were reposted or received comments at least once. Moreover, a regression analysis revealed that volume of followers is a key determinant of creating original microblog posts, reposting messages, being reposted, and receiving comments. Volume of friends is found to be linked only with the number of reposts. Gender differences and regional disparities in using microblogs in China are also observed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 2%
United Kingdom 1 1%
Germany 1 1%
Canada 1 1%
Unknown 88 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Student > Master 19 20%
Researcher 12 13%
Student > Doctoral Student 5 5%
Student > Postgraduate 5 5%
Other 15 16%
Unknown 16 17%
Readers by discipline Count As %
Social Sciences 31 33%
Computer Science 12 13%
Arts and Humanities 6 6%
Psychology 4 4%
Nursing and Health Professions 3 3%
Other 16 17%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 June 2015.
All research outputs
#1,614,896
of 25,830,005 outputs
Outputs from PLOS ONE
#19,809
of 225,229 outputs
Outputs of similar age
#12,283
of 209,535 outputs
Outputs of similar age from PLOS ONE
#455
of 5,452 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 91% 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 209,535 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 5,452 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.