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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Conversational Agents for Insurance Companies: From Theory to Practice
|
|---|---|
| Chapter number | 17 |
| Book title |
Agents and Artificial Intelligence
|
| Published in |
arXiv, December 2019
|
| DOI | 10.1007/978-3-030-37494-5_17 |
| Book ISBNs |
978-3-03-037493-8, 978-3-03-037494-5
|
| Authors |
Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner, Koetter, Falko, Blohm, Matthias, Drawehn, Jens, Kochanowski, Monika, Goetzer, Joscha, Graziotin, Daniel, Wagner, Stefan |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Unspecified | 2 | 5% |
| Professor | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 13 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 21% |
| Business, Management and Accounting | 6 | 16% |
| Unspecified | 2 | 5% |
| Arts and Humanities | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 December 2019.
All research outputs
#13,310,255
of 23,182,015 outputs
Outputs from arXiv
#210,335
of 954,772 outputs
Outputs of similar age
#213,260
of 459,026 outputs
Outputs of similar age from arXiv
#6,708
of 27,577 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 954,772 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% 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 459,026 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 52% of its contemporaries.
We're also able to compare this research output to 27,577 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.