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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Structural Inference of Hierarchies in Networks
|
|---|---|
| Chapter number | 1 |
| Book title |
Statistical Network Analysis: Models, Issues, and New Directions
|
| Published in |
arXiv, October 2006
|
| DOI | 10.1007/978-3-540-73133-7_1 |
| Book ISBNs |
978-3-54-073132-0, 978-3-54-073133-7
|
| Authors |
Aaron Clauset, Cristopher Moore, M. E. J. Newman, Mark E. J. Newman, Clauset, Aaron, Moore, Cristopher, Newman, Mark E. J. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 6% |
| United Kingdom | 5 | 2% |
| Germany | 2 | <1% |
| Australia | 2 | <1% |
| China | 2 | <1% |
| Spain | 2 | <1% |
| Japan | 2 | <1% |
| Ireland | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 13 | 5% |
| Unknown | 219 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 32% |
| Researcher | 59 | 22% |
| Student > Master | 25 | 9% |
| Other | 18 | 7% |
| Professor > Associate Professor | 18 | 7% |
| Other | 45 | 17% |
| Unknown | 17 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 103 | 39% |
| Physics and Astronomy | 26 | 10% |
| Mathematics | 23 | 9% |
| Agricultural and Biological Sciences | 15 | 6% |
| Engineering | 15 | 6% |
| Other | 60 | 23% |
| Unknown | 24 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 May 2013.
All research outputs
#3,659,572
of 23,312,088 outputs
Outputs from arXiv
#66,501
of 960,895 outputs
Outputs of similar age
#9,633
of 67,253 outputs
Outputs of similar age from arXiv
#78
of 381 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 960,895 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 93% 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 67,253 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 85% of its contemporaries.
We're also able to compare this research output to 381 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.