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Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail

Overview of attention for article published in Journal of Computational Neuroscience, October 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 332)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
23 X users
facebook
1 Facebook page

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
105 Mendeley
Title
Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail
Published in
Journal of Computational Neuroscience, October 2018
DOI 10.1007/s10827-018-0702-z
Pubmed ID
Authors

Marcin Miłkowski, Witold M. Hensel, Mateusz Hohol

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Student > Doctoral Student 12 11%
Researcher 11 10%
Student > Master 9 9%
Student > Bachelor 8 8%
Other 21 20%
Unknown 19 18%
Readers by discipline Count As %
Psychology 15 14%
Neuroscience 13 12%
Agricultural and Biological Sciences 10 10%
Computer Science 10 10%
Engineering 5 5%
Other 27 26%
Unknown 25 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 13 September 2023.
All research outputs
#1,601,006
of 25,761,363 outputs
Outputs from Journal of Computational Neuroscience
#5
of 332 outputs
Outputs of similar age
#33,769
of 364,655 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 7 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 332 research outputs from this source. They receive a mean Attention Score of 3.5. 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 364,655 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 90% of its contemporaries.
We're also able to compare this research output to 7 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