↓ Skip to main content

Cell-specific expression of wild-type MeCP2 in mouse models of Rett syndrome yields insight about pathogenesis

Overview of attention for article published in Human Molecular Genetics, July 2007
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
104 Mendeley
connotea
1 Connotea
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.
Article details
Title
Cell-specific expression of wild-type MeCP2 in mouse models of Rett syndrome yields insight about pathogenesis
Published in
Human Molecular Genetics, July 2007
DOI 10.1093/hmg/ddm185
Pubmed ID
Authors
Abstract

Rett syndrome (RTT), a leading cause of mental retardation with autistic features in females, is caused by mutations in the gene encoding methyl-CpG-binding protein 2 (MeCP2). RTT is characterized by a diverse set of neurological features that includes cognitive, motor, behavioral and autonomic disturbances. The diverse features suggest that specific neurons contribute to particular phenotypes and raise the question whether restoring MeCP2 function in a cell-specific manner will rescue some of the phenotypes seen in RTT. To address this, we generated transgenic mice expressing inducible MeCP2 under the control of the brain-specific promoters calcium/calmodulin-dependent protein kinase II (CamKII) or neuron-specific enolase (Eno2) and bred them onto mouse models lacking functional MeCP2. Expression of normal MeCP2 in either CamKII or Eno2 distribution was unable to prevent the appearance of most of the phenotypes of the RTT mouse models. These results suggest that most RTT phenotypes are caused either by disruption of complex neural networks involving neurons throughout the brain or by disruption of the function of specific neurons outside of the broad CamKII or Eno2 distribution.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 6%
United Kingdom 1 <1%
China 1 <1%
Unknown 96 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 24%
Student > Ph. D. Student 24 23%
Student > Bachelor 8 8%
Professor 8 8%
Student > Master 7 7%
Other 17 16%
Unknown 15 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 41 39%
Neuroscience 17 16%
Biochemistry, Genetics and Molecular Biology 12 12%
Medicine and Dentistry 11 11%
Psychology 3 3%
Other 4 4%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 September 2009.
All research outputs
#7,646,787
of 28,841,988 outputs
Outputs from Human Molecular Genetics
#3,491
of 8,650 outputs
Outputs of similar age
#25,818
of 78,269 outputs
Outputs of similar age from Human Molecular Genetics
#22
of 60 outputs
Altmetric has tracked 28,841,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,650 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 58% 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 78,269 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 65% of its contemporaries.
We're also able to compare this research output to 60 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 63% of its contemporaries.