↓ Skip to main content

MeCP2 mutations: progress towards understanding and treating Rett syndrome

Overview of attention for article published in Genome Medicine, February 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
4 X users
patent
1 patent

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
213 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
MeCP2 mutations: progress towards understanding and treating Rett syndrome
Published in
Genome Medicine, February 2017
DOI 10.1186/s13073-017-0411-7
Pubmed ID
Authors

Ruth R. Shah, Adrian P. Bird

Abstract

Rett syndrome is a profound neurological disorder caused by mutations in the MECP2 gene, but preclinical research has indicated that it is potentially treatable. Progress towards this goal depends on the development of increasingly relevant model systems and on our improving knowledge of MeCP2 function in the brain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Unknown 212 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 43 20%
Researcher 29 14%
Student > Ph. D. Student 25 12%
Student > Master 25 12%
Student > Doctoral Student 10 5%
Other 17 8%
Unknown 64 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 25%
Neuroscience 34 16%
Medicine and Dentistry 17 8%
Agricultural and Biological Sciences 13 6%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 22 10%
Unknown 66 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 September 2018.
All research outputs
#2,344,341
of 22,955,959 outputs
Outputs from Genome Medicine
#541
of 1,444 outputs
Outputs of similar age
#46,648
of 309,434 outputs
Outputs of similar age from Genome Medicine
#17
of 31 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,444 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 62% 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 309,434 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.