↓ Skip to main content

The stochastic topic block model for the clustering of vertices in networks with textual edges

Overview of attention for article published in Statistics and Computing, October 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 542)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
8 X users
patent
2 patents

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
47 Mendeley
Title
The stochastic topic block model for the clustering of vertices in networks with textual edges
Published in
Statistics and Computing, October 2016
DOI 10.1007/s11222-016-9713-7
Authors

C. Bouveyron, P. Latouche, R. Zreik

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Researcher 9 19%
Student > Master 4 9%
Professor > Associate Professor 3 6%
Lecturer 2 4%
Other 2 4%
Unknown 13 28%
Readers by discipline Count As %
Mathematics 12 26%
Computer Science 7 15%
Social Sciences 3 6%
Agricultural and Biological Sciences 3 6%
Business, Management and Accounting 2 4%
Other 7 15%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 01 April 2022.
All research outputs
#1,208,131
of 23,577,654 outputs
Outputs from Statistics and Computing
#6
of 542 outputs
Outputs of similar age
#23,676
of 318,258 outputs
Outputs of similar age from Statistics and Computing
#1
of 3 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 542 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 318,258 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them