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Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software

Overview of attention for article published in arXiv, July 2016
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
21 tweeters
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software
Published in
arXiv, July 2016
DOI 10.3934/math.2016.3.261
Authors

Jörg Fehr, Jan Heiland, Christian Himpe, Jens Saak, Jan Heiland, Christian Himpe, Jens Saak

Twitter Demographics

The data shown below were collected from the profiles of 21 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Greece 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Researcher 4 24%
Unspecified 3 18%
Student > Doctoral Student 2 12%
Student > Master 1 6%
Other 1 6%
Readers by discipline Count As %
Physics and Astronomy 5 29%
Mathematics 3 18%
Unspecified 3 18%
Engineering 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 3 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 May 2017.
All research outputs
#650,222
of 12,347,469 outputs
Outputs from arXiv
#11,013
of 627,217 outputs
Outputs of similar age
#22,282
of 267,895 outputs
Outputs of similar age from arXiv
#445
of 24,083 outputs
Altmetric has tracked 12,347,469 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 627,217 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% 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 267,895 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 24,083 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.