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Inferring social network user profiles using a partial social graph

Overview of attention for article published in Journal of Intelligent Information Systems, March 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
34 Mendeley
Title
Inferring social network user profiles using a partial social graph
Published in
Journal of Intelligent Information Systems, March 2016
DOI 10.1007/s10844-016-0402-y
Authors

Raïssa Yapan Dougnon, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Student > Ph. D. Student 5 15%
Professor > Associate Professor 3 9%
Professor 2 6%
Other 2 6%
Other 4 12%
Unknown 10 29%
Readers by discipline Count As %
Computer Science 13 38%
Business, Management and Accounting 3 9%
Biochemistry, Genetics and Molecular Biology 1 3%
Environmental Science 1 3%
Social Sciences 1 3%
Other 0 0%
Unknown 15 44%
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 13 October 2017.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from Journal of Intelligent Information Systems
#129
of 180 outputs
Outputs of similar age
#181,345
of 301,772 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#2
of 3 outputs
Altmetric has tracked 23,005,189 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 180 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 13th percentile – i.e., 13% 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 301,772 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 3 others from the same source and published within six weeks on either side of this one.