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SimCP: A Simulation Platform to Predict Gait Performance Following Orthopedic Intervention in Children With Cerebral Palsy

Overview of attention for article published in Frontiers in Neurorobotics, July 2019
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
134 Mendeley
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Title
SimCP: A Simulation Platform to Predict Gait Performance Following Orthopedic Intervention in Children With Cerebral Palsy
Published in
Frontiers in Neurorobotics, July 2019
DOI 10.3389/fnbot.2019.00054
Pubmed ID
Authors

Lorenzo Pitto, Hans Kainz, Antoine Falisse, Mariska Wesseling, Sam Van Rossom, Hoa Hoang, Eirini Papageorgiou, Ann Hallemans, Kaat Desloovere, Guy Molenaers, Anja Van Campenhout, Friedl De Groote, Ilse Jonkers

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 15%
Student > Ph. D. Student 19 14%
Researcher 16 12%
Student > Bachelor 14 10%
Student > Doctoral Student 8 6%
Other 14 10%
Unknown 43 32%
Readers by discipline Count As %
Engineering 30 22%
Medicine and Dentistry 13 10%
Neuroscience 10 7%
Sports and Recreations 9 7%
Nursing and Health Professions 7 5%
Other 10 7%
Unknown 55 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 28 March 2020.
All research outputs
#3,032,754
of 25,708,267 outputs
Outputs from Frontiers in Neurorobotics
#58
of 1,054 outputs
Outputs of similar age
#57,547
of 344,643 outputs
Outputs of similar age from Frontiers in Neurorobotics
#3
of 35 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,054 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 94% 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 344,643 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 83% of its contemporaries.
We're also able to compare this research output to 35 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 91% of its contemporaries.