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Transcriptome profiling in engrailed-2 mutant mice reveals common molecular pathways associated with autism spectrum disorders.

Overview of attention for article published in Molecular Autism, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters
googleplus
1 Google+ user

Citations

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24 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Transcriptome profiling in engrailed-2 mutant mice reveals common molecular pathways associated with autism spectrum disorders.
Published in
Molecular Autism, December 2013
DOI 10.1186/2040-2392-4-51
Pubmed ID
Authors

Paola Sgadò, Giovanni Provenzano, Erik Dassi, Valentina Adami, Giulia Zunino, Sacha Genovesi, Simona Casarosa, Yuri Bozzi

Abstract

Transcriptome analysis has been used in autism spectrum disorder (ASD) to unravel common pathogenic pathways based on the assumption that distinct rare genetic variants or epigenetic modifications affect common biological pathways. To unravel recurrent ASD-related neuropathological mechanisms, we took advantage of the En2-/- mouse model and performed transcriptome profiling on cerebellar and hippocampal adult tissues.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 4%
South Africa 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Student > Ph. D. Student 9 16%
Student > Master 7 12%
Other 6 11%
Student > Bachelor 4 7%
Other 7 12%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 28%
Neuroscience 11 19%
Biochemistry, Genetics and Molecular Biology 8 14%
Psychology 5 9%
Medicine and Dentistry 3 5%
Other 4 7%
Unknown 10 18%

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 10 January 2014.
All research outputs
#1,174,853
of 6,228,993 outputs
Outputs from Molecular Autism
#152
of 253 outputs
Outputs of similar age
#31,609
of 140,930 outputs
Outputs of similar age from Molecular Autism
#9
of 16 outputs
Altmetric has tracked 6,228,993 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 253 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one is in the 39th percentile – i.e., 39% 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 140,930 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 77% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.