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Functional, Structural, and Neurotoxicity Biomarkers in Integrative Assessment of Concussions

Overview of attention for article published in Frontiers in Neurology, October 2016
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Title
Functional, Structural, and Neurotoxicity Biomarkers in Integrative Assessment of Concussions
Published in
Frontiers in Neurology, October 2016
DOI 10.3389/fneur.2016.00172
Pubmed ID
Authors

Svetlana A. Dambinova, Joseph C. Maroon, Alicia M. Sufrinko, John David Mullins, Eugenia V. Alexandrova, Alexander A. Potapov

Abstract

Concussion is a complex, heterogeneous process affecting the brain. Accurate assessment and diagnosis and appropriate management of concussion are essential to ensure that athletes do not prematurely return to play or others to work or active military duty, risking re-injury. To date, clinical diagnosis relies primarily on evaluating subjects for functional impairment using instruments that include neurocognitive testing, subjective symptom report, and neurobehavioral assessments, such as balance and vestibular-ocular reflex testing. Structural biomarkers, defined as advanced neuroimaging techniques and biomarkers assessing neurotoxicity and immunoexcitotoxicity, may complement the use of functional biomarkers. We hypothesize that neurotoxicity AMPA, NMDA, and kainite receptor biomarkers might be utilized as a part of comprehensive approach to concussion evaluations, with the goal of increasing diagnostic accuracy and facilitating treatment planning and prognostic assessment.

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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 14%
Researcher 12 13%
Student > Master 12 13%
Other 7 7%
Student > Doctoral Student 6 6%
Other 23 24%
Unknown 22 23%
Readers by discipline Count As %
Neuroscience 26 27%
Medicine and Dentistry 20 21%
Psychology 7 7%
Sports and Recreations 5 5%
Nursing and Health Professions 3 3%
Other 6 6%
Unknown 28 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 October 2016.
All research outputs
#14,862,678
of 22,890,496 outputs
Outputs from Frontiers in Neurology
#6,123
of 11,816 outputs
Outputs of similar age
#191,844
of 319,501 outputs
Outputs of similar age from Frontiers in Neurology
#38
of 71 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,816 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 319,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.