↓ Skip to main content

Decoding Hippocampal Signaling Deficits After Traumatic Brain Injury

Overview of attention for article published in Translational Stroke Research, November 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
87 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.
Article details
Title
Decoding Hippocampal Signaling Deficits After Traumatic Brain Injury
Published in
Translational Stroke Research, November 2011
DOI 10.1007/s12975-011-0123-z
Pubmed ID
Authors
Abstract

There are more than 3.17 million people coping with long-term disabilities due to traumatic brain injury (TBI) in the United States. The majority of TBI research is focused on developing acute neuroprotective treatments to prevent or minimize these long-term disabilities. Therefore, chronic TBI survivors represent a large, underserved population that could significantly benefit from a therapy that capitalizes on the endogenous recovery mechanisms occurring during the weeks to months following brain trauma. Previous studies have found that the hippocampus is highly vulnerable to brain injury, in both experimental models of TBI and during human TBI. Although often not directly mechanically injured by the head injury, in the weeks to months following TBI, the hippocampus undergoes atrophy and exhibits deficits in long-term potentiation (LTP), a persistent increase in synaptic strength that is considered to be a model of learning and memory. Decoding the chronic hippocampal LTP and cell signaling deficits after brain trauma will provide new insights into the molecular mechanisms of hippocampal-dependent learning impairments caused by TBI and facilitate the development of effective therapeutic strategies to improve hippocampal-dependent learning for chronic survivors of TBI.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Denmark 1 1%
Belgium 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Student > Bachelor 14 16%
Student > Master 11 13%
Researcher 8 9%
Other 6 7%
Other 11 13%
Unknown 22 25%
Readers by discipline
Readers by discipline Count As %
Neuroscience 14 16%
Agricultural and Biological Sciences 13 15%
Psychology 9 10%
Biochemistry, Genetics and Molecular Biology 8 9%
Medicine and Dentistry 6 7%
Other 10 11%
Unknown 27 31%
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 14 March 2023.
All research outputs
#24,428,660
of 33,992,632 outputs
Outputs from Translational Stroke Research
#343
of 587 outputs
Outputs of similar age
#148,466
of 193,060 outputs
Outputs of similar age from Translational Stroke Research
#10
of 10 outputs
Altmetric has tracked 33,992,632 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 587 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 29th percentile – i.e., 29% 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 193,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.