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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Robots that Refuse to Admit Losing – A Case Study in Game Playing Using Self-Serving Bias in the Humanoid Robot MARC
|
---|---|
Chapter number | 47 |
Book title |
Intelligent Robotics and Applications
|
Published in |
Lecture notes in computer science, August 2016
|
DOI | 10.1007/978-3-319-43506-0_47 |
Book ISBNs |
978-3-31-943505-3, 978-3-31-943506-0
|
Authors |
Mriganka Biswas, John Murray |
Editors |
Naoyuki Kubota, Kazuo Kiguchi, Honghai Liu, Takenori Obo |
X Demographics
The data shown below were collected from the profiles of 14 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 % |
---|---|---|
Canada | 3 | 21% |
United Kingdom | 2 | 14% |
United States | 1 | 7% |
Sweden | 1 | 7% |
Germany | 1 | 7% |
Unknown | 6 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 79% |
Science communicators (journalists, bloggers, editors) | 2 | 14% |
Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 1 | 17% |
Student > Doctoral Student | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 3 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 2 | 33% |
Computer Science | 1 | 17% |
Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 September 2016.
All research outputs
#3,454,335
of 24,640,106 outputs
Outputs from Lecture notes in computer science
#733
of 8,154 outputs
Outputs of similar age
#62,145
of 375,240 outputs
Outputs of similar age from Lecture notes in computer science
#34
of 496 outputs
Altmetric has tracked 24,640,106 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,154 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 91% 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 375,240 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 83% of its contemporaries.
We're also able to compare this research output to 496 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 93% of its contemporaries.