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Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service

Overview of attention for article published in BMC Bioinformatics, November 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
13 tweeters

Readers on

mendeley
15 Mendeley
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Title
Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service
Published in
BMC Bioinformatics, November 2021
DOI 10.1186/s12859-021-04401-3
Pubmed ID
Authors

Marco Antonio Tangaro, Pietro Mandreoli, Matteo Chiara, Giacinto Donvito, Marica Antonacci, Antonio Parisi, Angelica Bianco, Angelo Romano, Daniela Manila Bianchi, Davide Cangelosi, Paolo Uva, Ivan Molineris, Vladimir Nosi, Raffaele A. Calogero, Luca Alessandri, Elena Pedrini, Marina Mordenti, Emanuele Bonetti, Luca Sangiorgi, Graziano Pesole, Federico Zambelli

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Doctoral Student 2 13%
Student > Master 2 13%
Student > Ph. D. Student 1 7%
Unspecified 1 7%
Other 2 13%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 20%
Social Sciences 2 13%
Medicine and Dentistry 2 13%
Nursing and Health Professions 1 7%
Agricultural and Biological Sciences 1 7%
Other 4 27%
Unknown 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 February 2022.
All research outputs
#3,639,443
of 21,084,186 outputs
Outputs from BMC Bioinformatics
#1,455
of 6,876 outputs
Outputs of similar age
#96,435
of 420,420 outputs
Outputs of similar age from BMC Bioinformatics
#153
of 559 outputs
Altmetric has tracked 21,084,186 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,876 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 420,420 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 559 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 72% of its contemporaries.