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Fast computation of genome-metagenome interaction effects

Overview of attention for article published in Algorithms for Molecular Biology, July 2020
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Mentioned by

twitter
1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Fast computation of genome-metagenome interaction effects
Published in
Algorithms for Molecular Biology, July 2020
DOI 10.1186/s13015-020-00173-2
Authors

Florent Guinot, Marie Szafranski, Julien Chiquet, Anouk Zancarini, Christine Le Signor, Christophe Mougel, Christophe Ambroise

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 44%
Student > Ph. D. Student 1 11%
Student > Doctoral Student 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 2 22%
Mathematics 1 11%
Agricultural and Biological Sciences 1 11%
Medicine and Dentistry 1 11%
Unknown 4 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 July 2020.
All research outputs
#14,437,806
of 18,090,383 outputs
Outputs from Algorithms for Molecular Biology
#161
of 238 outputs
Outputs of similar age
#219,949
of 296,667 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 1 outputs
Altmetric has tracked 18,090,383 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 238 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 296,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them