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Integrative proteomic analysis of the NMDA NR1 knockdown mouse model reveals effects on central and peripheral pathways associated with schizophrenia and autism spectrum disorders

Overview of attention for article published in Molecular Autism, July 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 tweeters

Citations

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27 Dimensions

Readers on

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110 Mendeley

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Summary Twitter Dimensions citations
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Title
Integrative proteomic analysis of the NMDA NR1 knockdown mouse model reveals effects on central and peripheral pathways associated with schizophrenia and autism spectrum disorders
Published in
Molecular Autism, July 2014
DOI 10.1186/2040-2392-5-38
Pubmed ID
25061506
Authors

Hendrik Wesseling, Paul C Guest, Chi-Ming Lee, Erik HF Wong, Hassan Rahmoune, Sabine Bahn

Abstract

Over the last decade, the transgenic N-methyl-D-aspartate receptor (NMDAR) NR1-knockdown mouse (NR1(neo-/-)) has been investigated as a glutamate hypofunction model for schizophrenia. Recent research has now revealed that the model also recapitulates cognitive and negative symptoms in the continuum of other psychiatric diseases, particularly autism spectrum disorders (ASD). As previous studies have mostly focussed on behavioural readouts, a molecular characterisation of this model will help to identify novel biomarkers or potential drug targets.

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Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Czechia 1 <1%
Canada 1 <1%
Unknown 106 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 22%
Student > Ph. D. Student 14 13%
Student > Bachelor 14 13%
Student > Master 12 11%
Student > Doctoral Student 6 5%
Other 22 20%
Unknown 18 16%
Readers by discipline Count As %
Neuroscience 23 21%
Agricultural and Biological Sciences 18 16%
Biochemistry, Genetics and Molecular Biology 12 11%
Medicine and Dentistry 12 11%
Psychology 7 6%
Other 13 12%
Unknown 25 23%

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 10 July 2014.
All research outputs
#11,929,040
of 18,804,592 outputs
Outputs from Molecular Autism
#541
of 604 outputs
Outputs of similar age
#104,272
of 198,110 outputs
Outputs of similar age from Molecular Autism
#4
of 4 outputs
Altmetric has tracked 18,804,592 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 604 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one is in the 8th percentile – i.e., 8% 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 198,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.

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