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A systematic review of tests to predict cerebral palsy in young children

Overview of attention for article published in Developmental Medicine & Child Neurology, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
368 Dimensions

Readers on

mendeley
424 Mendeley
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Title
A systematic review of tests to predict cerebral palsy in young children
Published in
Developmental Medicine & Child Neurology, April 2013
DOI 10.1111/dmcn.12140
Pubmed ID
Authors

Margot Bosanquet, Lisa Copeland, Robert Ware, Roslyn Boyd

Abstract

This systematic review evaluates the accuracy of predictive assessments and investigations used to assist in the diagnosis of cerebral palsy (CP) in preschool-age children (<5 y).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 424 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
United States 2 <1%
Netherlands 1 <1%
France 1 <1%
Israel 1 <1%
Colombia 1 <1%
Thailand 1 <1%
Italy 1 <1%
Unknown 414 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 57 13%
Student > Master 55 13%
Student > Ph. D. Student 49 12%
Researcher 46 11%
Student > Postgraduate 33 8%
Other 85 20%
Unknown 99 23%
Readers by discipline Count As %
Medicine and Dentistry 155 37%
Nursing and Health Professions 49 12%
Engineering 22 5%
Neuroscience 20 5%
Psychology 18 4%
Other 46 11%
Unknown 114 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 March 2021.
All research outputs
#5,028,206
of 24,633,436 outputs
Outputs from Developmental Medicine & Child Neurology
#929
of 4,365 outputs
Outputs of similar age
#40,389
of 203,538 outputs
Outputs of similar age from Developmental Medicine & Child Neurology
#5
of 45 outputs
Altmetric has tracked 24,633,436 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 78% 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 203,538 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 79% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.