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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intelligent Virtual Agents
|
|---|---|
| Published by |
Lecture notes in computer science, October 2016
|
| DOI | 10.1007/978-3-319-47665-0 |
| ISBNs |
978-3-31-947664-3, 978-3-31-947665-0
|
| Authors |
Potard, Blaise, Aylett, Matthew P., Baude, David A., Haag, Kathrin, Shimodaira, Hiroshi, Zhao, Ran, Sinha, Tanmay, Black, Alan W., Cassell, Justine, Yu, Zhou, He, Xinrui, Rudnicky, Alexander I. |
| Editors |
David Traum, William Swartout, Peter Khooshabeh, Stefan Kopp, Stefan Scherer, Anton Leuski |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 23% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Bachelor | 4 | 13% |
| Lecturer | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 32% |
| Psychology | 5 | 16% |
| Social Sciences | 3 | 10% |
| Linguistics | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 20 September 2022.
All research outputs
#1,735,755
of 25,837,817 outputs
Outputs from Lecture notes in computer science
#264
of 8,201 outputs
Outputs of similar age
#30,133
of 325,102 outputs
Outputs of similar age from Lecture notes in computer science
#17
of 471 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,201 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 96% 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 325,102 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 471 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 96% of its contemporaries.