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Mendeley readers
Attention Score in Context
Chapter title |
Learning the Relevant Percepts of Modular Hierarchical Bayesian Driver Models Using a Bayesian Information Criterion
|
---|---|
Chapter number | 52 |
Book title |
Digital Human Modeling
|
Published in |
Lecture notes in computer science, July 2011
|
DOI | 10.1007/978-3-642-21799-9_52 |
Book ISBNs |
978-3-64-221798-2, 978-3-64-221799-9
|
Authors |
Mark Eilers, Claus Möbus, Eilers, Mark, Möbus, Claus |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 25% |
Unknown | 9 | 75% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 50% |
Student > Master | 2 | 17% |
Professor | 1 | 8% |
Other | 1 | 8% |
Researcher | 1 | 8% |
Other | 0 | 0% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 50% |
Computer Science | 3 | 25% |
Psychology | 2 | 17% |
Unknown | 1 | 8% |
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 04 March 2016.
All research outputs
#7,455,523
of 22,792,160 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#41,657
of 116,525 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 67 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 116,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 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 55% of its contemporaries.