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Analyzing and inferring human real-life behavior through online social networks with social influence deep learning

Overview of attention for article published in Applied Network Science, June 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 567)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
38 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
64 Mendeley
Title
Analyzing and inferring human real-life behavior through online social networks with social influence deep learning
Published in
Applied Network Science, June 2019
DOI 10.1007/s41109-019-0134-3
Authors

Luca Luceri, Torsten Braun, Silvia Giordano

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 9 14%
Researcher 7 11%
Student > Doctoral Student 6 9%
Student > Postgraduate 5 8%
Other 10 16%
Unknown 15 23%
Readers by discipline Count As %
Computer Science 18 28%
Engineering 9 14%
Social Sciences 4 6%
Agricultural and Biological Sciences 2 3%
Mathematics 2 3%
Other 13 20%
Unknown 16 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 07 November 2022.
All research outputs
#1,194,941
of 24,770,025 outputs
Outputs from Applied Network Science
#21
of 567 outputs
Outputs of similar age
#26,585
of 359,295 outputs
Outputs of similar age from Applied Network Science
#4
of 30 outputs
Altmetric has tracked 24,770,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 96% 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 359,295 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 92% of its contemporaries.
We're also able to compare this research output to 30 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 90% of its contemporaries.