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Introducing evolutionary biologists to the analysis of big data: guidelines to organize extended bioinformatics training courses

Overview of attention for article published in Evolution: Education and Outreach, July 2018
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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24 X users

Citations

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4 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Introducing evolutionary biologists to the analysis of big data: guidelines to organize extended bioinformatics training courses
Published in
Evolution: Education and Outreach, July 2018
DOI 10.1186/s12052-018-0080-z
Authors

Rui Faria, Deborah Triant, Alvaro Perdomo-Sabogal, Bert Overduin, Christoph Bleidorn, Clara Isabel Bermudez Santana, David Langenberger, Giovanni Marco Dall’Olio, Henrike Indrischek, Jan Aerts, Jan Engelhardt, Johannes Engelken, Katja Liebal, Mario Fasold, Sofia Robb, Sonja Grath, Sree Rohit Raj Kolora, Tiago Carvalho, Walter Salzburger, Vladimir Jovanovic, Katja Nowick

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Master 3 9%
Professor 3 9%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 8 24%
Unknown 8 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 39%
Biochemistry, Genetics and Molecular Biology 6 18%
Social Sciences 2 6%
Computer Science 1 3%
Chemical Engineering 1 3%
Other 2 6%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 September 2018.
All research outputs
#2,650,396
of 25,128,618 outputs
Outputs from Evolution: Education and Outreach
#155
of 558 outputs
Outputs of similar age
#51,616
of 336,253 outputs
Outputs of similar age from Evolution: Education and Outreach
#3
of 8 outputs
Altmetric has tracked 25,128,618 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 558 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has gotten more attention than average, scoring higher than 72% 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 336,253 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 84% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.