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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 X user

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
47 Mendeley
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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

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Student > Ph. D. Student 6 13%
Other 4 9%
Researcher 4 9%
Professor > Associate Professor 4 9%
Other 10 21%
Unknown 10 21%
Readers by discipline Count As %
Computer Science 24 51%
Business, Management and Accounting 3 6%
Engineering 3 6%
Environmental Science 2 4%
Social Sciences 2 4%
Other 3 6%
Unknown 10 21%
Attention Score in Context

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
#17,286,379
of 25,374,647 outputs
Outputs from Expert Systems with Applications
#2,017
of 4,222 outputs
Outputs of similar age
#171,587
of 286,876 outputs
Outputs of similar age from Expert Systems with Applications
#23
of 36 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,222 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 36th percentile – i.e., 36% 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 286,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.