↓ Skip to main content

Modeling Chronic Traumatic Encephalopathy: The Way Forward for Future Discovery

Overview of attention for article published in Frontiers in Neurology, October 2015
Altmetric Badge

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)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Modeling Chronic Traumatic Encephalopathy: The Way Forward for Future Discovery
Published in
Frontiers in Neurology, October 2015
DOI 10.3389/fneur.2015.00223
Pubmed ID
Authors

Ryan C. Turner, Brandon P. Lucke-Wold, Aric F. Logsdon, Matthew J. Robson, John M. Lee, Julian E. Bailes, Matthew L. Dashnaw, Jason D. Huber, Anthony L. Petraglia, Charles L. Rosen

Abstract

Despite the extensive media coverage associated with the diagnosis of chronic traumatic encephalopathy (CTE), our fundamental understanding of the disease pathophysiology remains in its infancy. Only recently have scientific laboratories and personnel begun to explore CTE pathophysiology through the use of preclinical models of neurotrauma. Some studies have shown the ability to recapitulate some aspects of CTE in rodent models, through the use of various neuropathological, biochemical, and/or behavioral assays. Many questions related to CTE development, however, remain unanswered. These include the role of impact severity, the time interval between impacts, the age at which impacts occur, and the total number of impacts sustained. Other important variables such as the location of impacts, character of impacts, and effect of environment/lifestyle and genetics also warrant further study. In this work, we attempt to address some of these questions by exploring work previously completed using single- and repetitive-injury paradigms. Despite some models producing some deficits similar to CTE symptoms, it is clear that further studies are required to understand the development of neuropathological and neurobehavioral features consistent with CTE-like features in rodents. Specifically, acute and chronic studies are needed that characterize the development of tau-based pathology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Ph. D. Student 5 11%
Student > Master 5 11%
Student > Bachelor 5 11%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 8 18%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Neuroscience 5 11%
Psychology 5 11%
Agricultural and Biological Sciences 4 9%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 7 16%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 November 2015.
All research outputs
#3,069,478
of 22,831,537 outputs
Outputs from Frontiers in Neurology
#2,168
of 11,711 outputs
Outputs of similar age
#45,301
of 284,375 outputs
Outputs of similar age from Frontiers in Neurology
#21
of 63 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,711 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 done well, scoring higher than 79% 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 284,375 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 63 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 65% of its contemporaries.