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Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization

Overview of attention for article published in arXiv, October 2014
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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
255 X users
weibo
1 weibo user
facebook
7 Facebook pages
googleplus
1 Google+ user
reddit
3 Redditors
q&a
1 Q&A thread

Citations

dimensions_citation
107 Dimensions

Readers on

mendeley
193 Mendeley
citeulike
2 CiteULike
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Title
Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization
Published in
arXiv, October 2014
DOI 10.1109/bigdata.2014.7004256
Authors

Ryan Compton, David Jurgens, David Allen

X Demographics

X Demographics

The data shown below were collected from the profiles of 255 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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Netherlands 3 2%
Japan 2 1%
United Kingdom 1 <1%
Singapore 1 <1%
Australia 1 <1%
Spain 1 <1%
Switzerland 1 <1%
Sri Lanka 1 <1%
Other 1 <1%
Unknown 175 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 27%
Researcher 44 23%
Student > Master 27 14%
Student > Doctoral Student 13 7%
Student > Bachelor 13 7%
Other 27 14%
Unknown 16 8%
Readers by discipline Count As %
Computer Science 83 43%
Social Sciences 29 15%
Engineering 11 6%
Earth and Planetary Sciences 10 5%
Environmental Science 9 5%
Other 29 15%
Unknown 22 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 233. 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 13 October 2021.
All research outputs
#164,595
of 25,579,912 outputs
Outputs from arXiv
#1,712
of 930,597 outputs
Outputs of similar age
#1,439
of 265,993 outputs
Outputs of similar age from arXiv
#18
of 10,914 outputs
Altmetric has tracked 25,579,912 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 930,597 research outputs from this source. They receive a mean Attention Score of 4.3. 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 265,993 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 10,914 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.