| Title |
A review of stochastic block models and extensions for graph clustering
|
|---|---|
| Published in |
Applied Network Science, December 2019
|
| DOI | 10.1007/s41109-019-0232-2 |
| Authors |
Clement Lee, Darren J. Wilkinson |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| Canada | 1 | 10% |
| Curaçao | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 174 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 25% |
| Researcher | 23 | 13% |
| Student > Master | 16 | 9% |
| Student > Bachelor | 10 | 6% |
| Student > Doctoral Student | 9 | 5% |
| Other | 17 | 10% |
| Unknown | 55 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 17% |
| Mathematics | 26 | 15% |
| Engineering | 14 | 8% |
| Physics and Astronomy | 12 | 7% |
| Economics, Econometrics and Finance | 5 | 3% |
| Other | 23 | 13% |
| Unknown | 65 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 04 November 2023.
All research outputs
#4,446,832
of 25,703,943 outputs
Outputs from Applied Network Science
#124
of 584 outputs
Outputs of similar age
#98,706
of 480,793 outputs
Outputs of similar age from Applied Network Science
#10
of 35 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 78% 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 480,793 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.