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Distributed Applications and Interoperable Systems

Overview of attention for book
Attention for Chapter 9: Self-tunable DBMS Replication with Reinforcement Learning
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
2 X users
patent
2 patents

Readers on

mendeley
7 Mendeley
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Chapter title
Self-tunable DBMS Replication with Reinforcement Learning
Chapter number 9
Book title
Distributed Applications and Interoperable Systems
Published in
Lecture notes in computer science, June 2020
DOI 10.1007/978-3-030-50323-9_9
Book ISBNs
978-3-03-050322-2, 978-3-03-050323-9
Authors

Luís Ferreira, Fábio Coelho, José Pereira, Ferreira, Luís, Coelho, Fábio, Pereira, José

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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.
Mendeley readers

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 %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Unspecified 1 14%
Student > Doctoral Student 1 14%
Lecturer 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 2 29%
Arts and Humanities 1 14%
Business, Management and Accounting 1 14%
Unspecified 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 June 2023.
All research outputs
#7,624,794
of 26,122,087 outputs
Outputs from Lecture notes in computer science
#2,195
of 8,178 outputs
Outputs of similar age
#162,192
of 436,548 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 23 outputs
Altmetric has tracked 26,122,087 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,178 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 71% 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 436,548 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.