Entertainment Computing and Serious Games
Springer International Publishing
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Mendeley readers
Attention Score in Context
| Chapter title |
Affective Computing in Games
|
|---|---|
| Chapter number | 16 |
| Book title |
Entertainment Computing and Serious Games
|
| Published in |
Lecture notes in computer science, October 2016
|
| DOI | 10.1007/978-3-319-46152-6_16 |
| Book ISBNs |
978-3-31-946151-9, 978-3-31-946152-6
|
| Authors |
Benjamin Guthier, Ralf Dörner, Hector P. Martinez, Guthier, Benjamin, Dörner, Ralf, Martinez, Hector P. |
| Editors |
Ralf Dörner, Stefan Göbel, Michael Kickmeier-Rust, Maic Masuch, Katharina Zweig |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 17% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Bachelor | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 40% |
| Engineering | 5 | 14% |
| Social Sciences | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 07 March 2024.
All research outputs
#995,144
of 25,443,857 outputs
Outputs from Lecture notes in computer science
#113
of 8,163 outputs
Outputs of similar age
#18,380
of 327,335 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 545 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,163 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 98% 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 327,335 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 94% of its contemporaries.
We're also able to compare this research output to 545 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 97% of its contemporaries.