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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 5% 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

Readers on

mendeley
7 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Other 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Unspecified 1 14%
Other 0 0%
Readers by discipline Count As %
Mathematics 2 29%
Unspecified 1 14%
Computer Science 1 14%
Energy 1 14%
Chemistry 1 14%
Other 1 14%

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
#551,739
of 11,160,044 outputs
Outputs from arXiv
#9,155
of 553,045 outputs
Outputs of similar age
#22,235
of 267,287 outputs
Outputs of similar age from arXiv
#465
of 24,376 outputs
Altmetric has tracked 11,160,044 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 553,045 research outputs from this source. They receive a mean Attention Score of 2.9. 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 267,287 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 24,376 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.