↓ Skip to main content

Can Animal Models Contribute to Understanding Tinnitus Heterogeneity in Humans?

Overview of attention for article published in Frontiers in Aging Neuroscience, November 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users
facebook
4 Facebook pages

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
61 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
Can Animal Models Contribute to Understanding Tinnitus Heterogeneity in Humans?
Published in
Frontiers in Aging Neuroscience, November 2016
DOI 10.3389/fnagi.2016.00265
Pubmed ID
Authors

Jos J. Eggermont

Abstract

The brain activity of humans with tinnitus of various etiologies is typically studied with electro- and magneto-encephalography and functional magnetic resonance imaging-based imaging techniques. Consequently, they measure population responses and mostly from the neocortex. The latter also underlies changes in neural networks that may be attributed to tinnitus. However, factors not strictly related to tinnitus such as hearing loss and hyperacusis, as well as other co-occurring disorders play a prominent role in these changes. Different types of tinnitus can often not be resolved with these brain-imaging techniques. In animal models of putative behavioral signs of tinnitus, neural activity ranging from auditory nerve to auditory cortex, is studied largely by single unit recordings, augmented by local field potentials (LFPs), and the neural correlates of tinnitus are mainly based on spontaneous neural activity, such as spontaneous firing rates and pair-wise spontaneous spike-firing correlations. Neural correlates of hyperacusis rely on measurement of stimulus-evoked activity and are measured as increased driven firing rates and LFP amplitudes. Connectivity studies would rely on correlated neural activity between pairs of neurons or LFP amplitudes, but are only recently explored. In animal models of tinnitus, only two etiologies are extensively studied; tinnitus evoked by salicylate application and by noise exposure. It appears that they have quite different neural biomarkers. The unanswered question then is: does this different etiology also result in different tinnitus?

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 15%
Student > Ph. D. Student 9 15%
Researcher 8 13%
Student > Master 7 11%
Other 5 8%
Other 7 11%
Unknown 16 26%
Readers by discipline Count As %
Medicine and Dentistry 12 20%
Neuroscience 11 18%
Agricultural and Biological Sciences 6 10%
Engineering 4 7%
Nursing and Health Professions 2 3%
Other 8 13%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 February 2017.
All research outputs
#4,684,522
of 22,896,955 outputs
Outputs from Frontiers in Aging Neuroscience
#2,235
of 4,823 outputs
Outputs of similar age
#76,979
of 307,467 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#43
of 85 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 53% 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 307,467 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 74% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.