Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization

Overview of attention for book
Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization
Institute of Electrical and Electronics Engineers (IEEE)
Overall attention for this book
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
352 tweeters
weibo
1 weibo user
facebook
7 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
reddit
3 Redditors
q&a
1 Q&A thread

Readers on

mendeley
111 Mendeley
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Title
Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization
Published by
arXiv, April 2014
DOI 10.1109/bigdata.2014.7004256
ISBNs
978-1-4799-5666-1
Authors

Ryan Compton, David Jurgens, David Allen, Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles

Twitter Demographics

The data shown below were collected from the profiles of 352 tweeters 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Japan 4 4%
Singapore 2 2%
Spain 1 <1%
Switzerland 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Italy 1 <1%
Luxembourg 1 <1%
Other 2 2%
Unknown 91 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 30%
Researcher 32 29%
Student > Master 16 14%
Other 9 8%
Student > Bachelor 5 5%
Other 16 14%
Readers by discipline Count As %
Computer Science 60 54%
Social Sciences 11 10%
Engineering 9 8%
Business, Management and Accounting 4 4%
Economics, Econometrics and Finance 4 4%
Other 23 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 319. 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 06 February 2017.
All research outputs
#13,602
of 7,246,563 outputs
Outputs from arXiv
#167
of 406,461 outputs
Outputs of similar age
#380
of 173,360 outputs
Outputs of similar age from arXiv
#2
of 20,991 outputs
Altmetric has tracked 7,246,563 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 406,461 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 99% 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 173,360 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 99% of its contemporaries.
We're also able to compare this research output to 20,991 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 99% of its contemporaries.