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Algorithms for Computational Biology

Overview of attention for book
Attention for Chapter 10: Robustness of the Parsimonious Reconciliation Method in Cophylogeny
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Chapter title
Robustness of the Parsimonious Reconciliation Method in Cophylogeny
Chapter number 10
Book title
Algorithms for Computational Biology
Published in
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-38827-4_10
Book ISBNs
978-3-31-938826-7, 978-3-31-938827-4
Authors

Laura Urbini, Blerina Sinaimeri, Catherine Matias, Marie-France Sagot

Editors

María Botón-Fernández, Carlos Martín-Vide, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
Attention Score in Context

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 28 July 2016.
All research outputs
#4,191,330
of 22,877,793 outputs
Outputs from Lecture notes in computer science
#989
of 8,130 outputs
Outputs of similar age
#71,845
of 393,697 outputs
Outputs of similar age from Lecture notes in computer science
#147
of 581 outputs
Altmetric has tracked 22,877,793 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 8,130 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 393,697 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.