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Proteomics studies in inner ear disorders: pathophysiology and biomarkers

Overview of attention for article published in Expert Review of Proteomics, March 2015
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Article details
Title
Proteomics studies in inner ear disorders: pathophysiology and biomarkers
Published in
Expert Review of Proteomics, March 2015
DOI 10.1586/14789450.2015.1024228
Pubmed ID
Authors
Abstract

Although proteomics has been exploited in a wide range of diseases for identification of biomarkers and pathophysiological mechanisms, there are still biomedical disciplines such as otology where proteomics platforms are underused due to technical challenges and/or complex features of the disease. Thus, in the past few years, healthcare and scientific agencies have advocated the development and adoption of proteomic technologies in otological research. However, few studies have been conducted and limited literature is available in this area. Here, we present the state of the art of proteomics in otology, discussing the substantial evidence from recent experimental models and clinical studies in inner-ear conditions. We also delineate a series of critical issues including minute size of the inner ear, delicacy and poor accessibility of tissue that researchers face while undertaking otology proteomics research. Furthermore, we provide perspective to enhance the impact and lead to the clinical implementation of these proteomics-based strategies.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 30%
Other 3 10%
Student > Doctoral Student 3 10%
Student > Bachelor 3 10%
Student > Master 3 10%
Other 3 10%
Unknown 6 20%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 4 13%
Neuroscience 4 13%
Computer Science 2 7%
Other 3 10%
Unknown 7 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 March 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Expert Review of Proteomics
#501
of 685 outputs
Outputs of similar age
#192,256
of 262,958 outputs
Outputs of similar age from Expert Review of Proteomics
#11
of 15 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 685 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 12th percentile – i.e., 12% 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 262,958 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 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.