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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
On the Evaluation Potential of Quality Functions in Community Detection for Different Contexts
|
|---|---|
| Chapter number | 9 |
| Book title |
Advances in Network Science
|
| Published in |
arXiv, January 2016
|
| DOI | 10.1007/978-3-319-28361-6_9 |
| Book ISBNs |
978-3-31-928360-9, 978-3-31-928361-6
|
| Authors |
Jean Creusefond, Thomas Largillier, Sylvain Peyronnet |
| Editors |
Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Researcher | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 50% |
| Engineering | 2 | 13% |
| Social Sciences | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unknown | 4 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 January 2016.
All research outputs
#13,859,387
of 23,891,012 outputs
Outputs from arXiv
#221,024
of 994,254 outputs
Outputs of similar age
#190,731
of 398,844 outputs
Outputs of similar age from arXiv
#2,003
of 14,160 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 994,254 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 398,844 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 14,160 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.