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Mendeley readers
Attention Score in Context
Chapter title |
Using Colored Petri Nets to Construct Coalescent Hidden Markov Models: Automatic Translation from Demographic Specifications to Efficient Inference Methods
|
---|---|
Chapter number | 3 |
Book title |
Application and Theory of Petri Nets
|
Published in |
Lecture notes in computer science, June 2012
|
DOI | 10.1007/978-3-642-31131-4_3 |
Book ISBNs |
978-3-64-231130-7, 978-3-64-231131-4
|
Authors |
Thomas Mailund, Anders E. Halager, Michael Westergaard |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 14% |
Unknown | 6 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 29% |
Student > Master | 2 | 29% |
Student > Doctoral Student | 2 | 29% |
Student > Bachelor | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Agricultural and Biological Sciences | 2 | 29% |
Business, Management and Accounting | 1 | 14% |
Engineering | 1 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 December 2012.
All research outputs
#5,459,038
of 22,842,950 outputs
Outputs from Lecture notes in computer science
#1,697
of 8,126 outputs
Outputs of similar age
#37,764
of 164,646 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 60 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 79% 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 164,646 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 77% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.