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Experimental Pipeline (Expipe): A Lightweight Data Management Platform to Simplify the Steps From Experiment to Data Analysis

Overview of attention for article published in Frontiers in Neuroinformatics, July 2020
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet
twitter
11 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Experimental Pipeline (Expipe): A Lightweight Data Management Platform to Simplify the Steps From Experiment to Data Analysis
Published in
Frontiers in Neuroinformatics, July 2020
DOI 10.3389/fninf.2020.00030
Pubmed ID
Authors

Mikkel Elle Lepperød, Svenn-Arne Dragly, Alessio Paolo Buccino, Milad Hobbi Mobarhan, Anders Malthe-Sørenssen, Torkel Hafting, Marianne Fyhn

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Researcher 3 17%
Student > Master 3 17%
Student > Doctoral Student 1 6%
Librarian 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Business, Management and Accounting 2 11%
Agricultural and Biological Sciences 2 11%
Engineering 2 11%
Neuroscience 2 11%
Computer Science 1 6%
Other 4 22%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 10 August 2020.
All research outputs
#1,835,153
of 23,223,705 outputs
Outputs from Frontiers in Neuroinformatics
#66
of 762 outputs
Outputs of similar age
#51,702
of 398,322 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 11 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 762 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 91% 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 398,322 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 86% of its contemporaries.
We're also able to compare this research output to 11 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.