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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Towards a Dyadic Computational Model of Rapport Management for Human-Virtual Agent Interaction
|
---|---|
Chapter number | 62 |
Book title |
Intelligent Virtual Agents
|
Published in |
Lecture notes in computer science, January 2014
|
DOI | 10.1007/978-3-319-09767-1_62 |
Book ISBNs |
978-3-31-909766-4, 978-3-31-909767-1
|
Authors |
Zhao, Ran, Papangelis, Alexandros, Cassell, Justine, Ran Zhao, Alexandros Papangelis, Justine Cassell |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Germany | 1 | <1% |
Portugal | 1 | <1% |
United Kingdom | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 112 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 30% |
Student > Master | 18 | 15% |
Researcher | 15 | 13% |
Student > Bachelor | 13 | 11% |
Student > Doctoral Student | 6 | 5% |
Other | 19 | 16% |
Unknown | 12 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 58 | 49% |
Psychology | 16 | 14% |
Engineering | 10 | 8% |
Social Sciences | 5 | 4% |
Business, Management and Accounting | 4 | 3% |
Other | 7 | 6% |
Unknown | 18 | 15% |
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 31 October 2022.
All research outputs
#6,060,095
of 23,009,818 outputs
Outputs from Lecture notes in computer science
#1,972
of 8,145 outputs
Outputs of similar age
#70,943
of 306,639 outputs
Outputs of similar age from Lecture notes in computer science
#88
of 280 outputs
Altmetric has tracked 23,009,818 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 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 75% 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 306,639 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 76% of its contemporaries.
We're also able to compare this research output to 280 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 68% of its contemporaries.