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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Graph Metrics for Temporal Networks
|
|---|---|
| Chapter number | 2 |
| Book title |
Temporal Networks
|
| Published in |
arXiv, June 2013
|
| DOI | 10.1007/978-3-642-36461-7_2 |
| Book ISBNs |
978-3-64-236460-0, 978-3-64-236461-7
|
| Authors |
Vincenzo Nicosia, John Tang, Cecilia Mascolo, Mirco Musolesi, Giovanni Russo, Vito Latora, Nicosia, Vincenzo, Tang, John, Mascolo, Cecilia, Musolesi, Mirco, Russo, Giovanni, Latora, Vito |
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 Kingdom | 1 | 10% |
| Japan | 1 | 10% |
| Korea, Republic of | 1 | 10% |
| Italy | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| Switzerland | 2 | 1% |
| United States | 2 | 1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Finland | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 181 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 68 | 35% |
| Researcher | 29 | 15% |
| Student > Master | 26 | 13% |
| Student > Doctoral Student | 20 | 10% |
| Professor | 10 | 5% |
| Other | 20 | 10% |
| Unknown | 21 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 32% |
| Engineering | 23 | 12% |
| Physics and Astronomy | 18 | 9% |
| Agricultural and Biological Sciences | 16 | 8% |
| Mathematics | 14 | 7% |
| Other | 27 | 14% |
| Unknown | 34 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 March 2022.
All research outputs
#6,675,875
of 25,193,883 outputs
Outputs from arXiv
#125,642
of 1,026,194 outputs
Outputs of similar age
#51,551
of 201,025 outputs
Outputs of similar age from arXiv
#539
of 8,392 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,026,194 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 87% 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 201,025 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 73% of its contemporaries.
We're also able to compare this research output to 8,392 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 93% of its contemporaries.