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Patient Characterization Protocols for Psychophysiological Studies of Traumatic Brain Injury and Post-TBI Psychiatric Disorders

Overview of attention for article published in Frontiers in Neurology, January 2013
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Title
Patient Characterization Protocols for Psychophysiological Studies of Traumatic Brain Injury and Post-TBI Psychiatric Disorders
Published in
Frontiers in Neurology, January 2013
DOI 10.3389/fneur.2013.00091
Pubmed ID
Authors

Paul E. Rapp, Brenna M. Rosenberg, David O. Keyser, Dominic Nathan, Kevin M. Toruno, Christopher J. Cellucci, Alfonso M. Albano, Scott A. Wylie, Douglas Gibson, Adele M. K. Gilpin, Theodore R. Bashore

Abstract

Psychophysiological investigations of traumatic brain injury (TBI) are being conducted for several reasons, including the objective of learning more about the underlying physiological mechanisms of the pathological processes that can be initiated by a head injury. Additional goals include the development of objective physiologically based measures that can be used to monitor the response to treatment and to identify minimally symptomatic individuals who are at risk of delayed-onset neuropsychiatric disorders following injury. Research programs studying TBI search for relationships between psychophysiological measures, particularly ERP (event-related potential) component properties (e.g., timing, amplitude, scalp distribution), and a participant's clinical condition. Moreover, the complex relationships between brain injury and psychiatric disorders are receiving increased research attention, and ERP technologies are making contributions to this effort. This review has two objectives supporting such research efforts. The first is to review evidence indicating that TBI is a significant risk factor for post-injury neuropsychiatric disorders. The second objective is to introduce ERP researchers who are not familiar with neuropsychiatric assessment to the instruments that are available for characterizing TBI, post-concussion syndrome, and psychiatric disorders. Specific recommendations within this very large literature are made. We have proceeded on the assumption that, as is typically the case in an ERP laboratory, the investigators are not clinically qualified and that they will not have access to participant medical records.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 12%
Student > Master 17 12%
Student > Bachelor 17 12%
Researcher 15 10%
Other 13 9%
Other 37 25%
Unknown 30 21%
Readers by discipline Count As %
Medicine and Dentistry 32 22%
Psychology 28 19%
Neuroscience 19 13%
Nursing and Health Professions 11 8%
Agricultural and Biological Sciences 5 3%
Other 17 12%
Unknown 34 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 July 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from Frontiers in Neurology
#8,628
of 11,620 outputs
Outputs of similar age
#248,772
of 280,752 outputs
Outputs of similar age from Frontiers in Neurology
#117
of 210 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 1st percentile – i.e., 1% 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 280,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.