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Genotype-Phenotype Correlations in Charcot-Marie-Tooth Disease Due to MTMR2 Mutations and Implications in Membrane Trafficking

Overview of attention for article published in Frontiers in Neuroscience, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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7 X users

Readers on

mendeley
37 Mendeley
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Title
Genotype-Phenotype Correlations in Charcot-Marie-Tooth Disease Due to MTMR2 Mutations and Implications in Membrane Trafficking
Published in
Frontiers in Neuroscience, October 2019
DOI 10.3389/fnins.2019.00974
Pubmed ID
Authors

Haicui Wang, Ayşe Kaçar Bayram, Rosanne Sprute, Ozkan Ozdemir, Emily Cooper, Matthias Pergande, Stephanie Efthymiou, Ivana Nedic, Neda Mazaheri, Katharina Stumpfe, Reza Azizi Malamiri, Gholamreza Shariati, Jawaher Zeighami, Nurettin Bayram, Seyed Kianoosh Naghibzadeh, Mohamad Tajik, Mehmet Yaşar, Ahmet Sami Güven, Farah Bibi, Tipu Sultan, Vincenzo Salpietro, Henry Houlden, Hüseyin Per, Hamid Galehdari, Bita Shalbafan, Yalda Jamshidi, Sebahattin Cirak

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Doctoral Student 4 11%
Student > Bachelor 4 11%
Researcher 2 5%
Professor 1 3%
Other 4 11%
Unknown 15 41%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Nursing and Health Professions 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Neuroscience 4 11%
Computer Science 1 3%
Other 0 0%
Unknown 14 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 November 2019.
All research outputs
#8,720,452
of 26,742,580 outputs
Outputs from Frontiers in Neuroscience
#5,426
of 12,041 outputs
Outputs of similar age
#143,418
of 372,741 outputs
Outputs of similar age from Frontiers in Neuroscience
#168
of 368 outputs
Altmetric has tracked 26,742,580 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 12,041 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 54% 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 372,741 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 61% of its contemporaries.
We're also able to compare this research output to 368 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.