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Rodent Hypoxia–Ischemia Models for Cerebral Palsy Research: A Systematic Review

Overview of attention for article published in Frontiers in Neurology, April 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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7 X users

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Title
Rodent Hypoxia–Ischemia Models for Cerebral Palsy Research: A Systematic Review
Published in
Frontiers in Neurology, April 2016
DOI 10.3389/fneur.2016.00057
Pubmed ID
Authors

Prakasham Rumajogee, Tatiana Bregman, Steven P. Miller, Jerome Y. Yager, Michael G. Fehlings

Abstract

Cerebral palsy (CP) is a complex multifactorial disorder, affecting approximately 2.5-3/1000 live term births, and up to 22/1000 prematurely born babies. CP results from injury to the developing brain incurred before, during, or after birth. The most common form of this condition, spastic CP, is primarily associated with injury to the cerebral cortex and subcortical white matter as well as the deep gray matter. The major etiological factors of spastic CP are hypoxia/ischemia (HI), occurring during the last third of pregnancy and around birth age. In addition, inflammation has been found to be an important factor contributing to brain injury, especially in term infants. Other factors, including genetics, are gaining importance. The classic Rice-Vannucci HI model (in which 7-day-old rat pups undergo unilateral ligation of the common carotid artery followed by exposure to 8% oxygen hypoxic air) is a model of neonatal stroke that has greatly contributed to CP research. In this model, brain damage resembles that observed in severe CP cases. This model, and its numerous adaptations, allows one to finely tune the injury parameters to mimic, and therefore study, many of the pathophysiological processes and conditions observed in human patients. Investigators can recreate the HI and inflammation, which cause brain damage and subsequent motor and cognitive deficits. This model further enables the examination of potential approaches to achieve neural repair and regeneration. In the present review, we compare and discuss the advantages, limitations, and the translational value for CP research of HI models of perinatal brain injury.

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X Demographics

The data shown below were collected from the profiles of 7 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 193 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 17%
Student > Bachelor 26 13%
Student > Ph. D. Student 25 13%
Researcher 20 10%
Student > Doctoral Student 11 6%
Other 27 14%
Unknown 52 27%
Readers by discipline Count As %
Neuroscience 42 22%
Medicine and Dentistry 32 16%
Agricultural and Biological Sciences 12 6%
Nursing and Health Professions 11 6%
Biochemistry, Genetics and Molecular Biology 9 5%
Other 29 15%
Unknown 59 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 December 2017.
All research outputs
#6,513,222
of 23,146,350 outputs
Outputs from Frontiers in Neurology
#4,295
of 12,065 outputs
Outputs of similar age
#92,152
of 299,346 outputs
Outputs of similar age from Frontiers in Neurology
#17
of 53 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 12,065 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 64% 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 299,346 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.