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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Self-Exciting Point Process Modeling of Conversation Event Sequences
|
|---|---|
| Chapter number | 12 |
| Book title |
Temporal Networks
|
| Published in |
arXiv, January 2013
|
| DOI | 10.1007/978-3-642-36461-7_12 |
| Book ISBNs |
978-3-64-236460-0, 978-3-64-236461-7
|
| Authors |
Naoki Masuda, Taro Takaguchi, Nobuo Sato, Kazuo Yano, Masuda, Naoki, Takaguchi, Taro, Sato, Nobuo, Yano, Kazuo |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| India | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 9 | 21% |
| Professor > Associate Professor | 5 | 12% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Other | 3 | 7% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 21% |
| Physics and Astronomy | 7 | 17% |
| Social Sciences | 5 | 12% |
| Engineering | 4 | 10% |
| Mathematics | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 May 2012.
All research outputs
#15,466,271
of 24,520,187 outputs
Outputs from arXiv
#292,387
of 988,774 outputs
Outputs of similar age
#177,827
of 290,270 outputs
Outputs of similar age from arXiv
#1,135
of 5,086 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 988,774 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 66% 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 290,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,086 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.