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Mendeley readers
Attention Score in Context
Chapter title |
A Type Theory for Robust Failure Handling in Distributed Systems
|
---|---|
Chapter number | 7 |
Book title |
Formal Techniques for Distributed Objects, Components, and Systems
|
Published in |
Lecture notes in computer science, January 2016
|
DOI | 10.1007/978-3-319-39570-8_7 |
Book ISBNs |
978-3-31-939569-2, 978-3-31-939570-8
|
Authors |
Tzu-Chun Chen, Malte Viering, Andi Bejleri, Lukasz Ziarek, Patrick Eugster |
Editors |
Elvira Albert, Ivan Lanese |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 20% |
Student > Master | 2 | 20% |
Student > Ph. D. Student | 1 | 10% |
Unknown | 5 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 50% |
Unknown | 5 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 12 January 2017.
All research outputs
#4,190,110
of 22,873,031 outputs
Outputs from Lecture notes in computer science
#989
of 8,128 outputs
Outputs of similar age
#71,843
of 393,689 outputs
Outputs of similar age from Lecture notes in computer science
#147
of 581 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 393,689 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 80% of its contemporaries.
We're also able to compare this research output to 581 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 68% of its contemporaries.