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Genotype-Phenotype Correlation for Predicting Cochlear Implant Outcome: Current Challenges and Opportunities

Overview of attention for article published in Frontiers in Genetics, July 2020
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  • Average Attention Score compared to outputs of the same age and source

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Citations

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Title
Genotype-Phenotype Correlation for Predicting Cochlear Implant Outcome: Current Challenges and Opportunities
Published in
Frontiers in Genetics, July 2020
DOI 10.3389/fgene.2020.00678
Pubmed ID
Authors

Adrien A. Eshraghi, Sai P. Polineni, Camron Davies, David Shahal, Jeenu Mittal, Zaid Al-Zaghal, Rahul Sinha, Urmi Jindal, Rahul Mittal

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 12%
Researcher 6 10%
Other 5 8%
Student > Master 5 8%
Student > Ph. D. Student 5 8%
Other 3 5%
Unknown 28 47%
Readers by discipline Count As %
Medicine and Dentistry 12 20%
Nursing and Health Professions 4 7%
Engineering 4 7%
Arts and Humanities 2 3%
Neuroscience 2 3%
Other 8 14%
Unknown 27 46%
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 29 July 2020.
All research outputs
#18,072,774
of 23,223,705 outputs
Outputs from Frontiers in Genetics
#6,219
of 12,257 outputs
Outputs of similar age
#283,508
of 396,831 outputs
Outputs of similar age from Frontiers in Genetics
#223
of 420 outputs
Altmetric has tracked 23,223,705 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 12,257 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 396,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 420 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.