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Mass spectrometry quantitation of proteins from small pools of developing auditory and vestibular cells

Overview of attention for article published in Scientific Data, July 2018
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Title
Mass spectrometry quantitation of proteins from small pools of developing auditory and vestibular cells
Published in
Scientific Data, July 2018
DOI 10.1038/sdata.2018.128
Pubmed ID
Authors

Jocelyn F. Krey, Deborah I. Scheffer, Dongseok Choi, Ashok Reddy, Larry L. David, David P. Corey, Peter G. Barr-Gillespie

Abstract

Hair cells of the inner ear undergo postnatal development that leads to formation of their sensory organelles, synaptic machinery, and in the case of cochlear outer hair cells, their electromotile mechanism. To examine how the proteome changes over development from postnatal days 0 through 7, we isolated pools of 5000 Pou4f3-Gfp positive or negative cells from the cochlea or utricles; these cell pools were analysed by data-dependent and data-independent acquisition (DDA and DIA) mass spectrometry. DDA data were used to generate spectral libraries, which enabled identification and accurate quantitation of specific proteins using the DIA datasets. DIA measurements were extremely sensitive; we were able to detect proteins present at less than one part in 100,000 from only 312 hair cells. The DDA and DIA datasets will be valuable for accurately quantifying proteins in hair cells and non-hair cells over this developmental window.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Ph. D. Student 11 18%
Student > Master 5 8%
Student > Bachelor 4 7%
Other 3 5%
Other 3 5%
Unknown 22 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 22%
Agricultural and Biological Sciences 8 13%
Neuroscience 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Chemical Engineering 2 3%
Other 5 8%
Unknown 24 40%
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 06 September 2018.
All research outputs
#14,421,028
of 23,096,849 outputs
Outputs from Scientific Data
#1,983
of 2,517 outputs
Outputs of similar age
#168,449
of 296,625 outputs
Outputs of similar age from Scientific Data
#56
of 67 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one is in the 18th percentile – i.e., 18% 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 296,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.