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Unsupervised topic discovery in micro-blogging networks

Overview of attention for article published in Expert Systems with Applications, October 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
50 Mendeley
Summary Twitter Dimensions citations
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Title
Unsupervised topic discovery in micro-blogging networks
Published in
Expert Systems with Applications, October 2015
DOI 10.1016/j.eswa.2015.04.014
Authors

Carlos Vicient, Antonio Moreno

View on publisher site

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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 6 12%
Other 4 8%
Researcher 4 8%
Professor > Associate Professor 4 8%
Other 11 22%
Unknown 12 24%
Readers by discipline Count As %
Computer Science 25 50%
Business, Management and Accounting 3 6%
Engineering 3 6%
Environmental Science 2 4%
Social Sciences 2 4%
Other 3 6%
Unknown 12 24%

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 18 May 2015.
All research outputs
#15,333,503
of 22,805,349 outputs
Outputs from Expert Systems with Applications
#1,703
of 3,655 outputs
Outputs of similar age
#160,835
of 274,849 outputs
Outputs of similar age from Expert Systems with Applications
#19
of 34 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,655 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 29th percentile – i.e., 29% 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 274,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.

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