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Development of a versatile enrichment analysis tool reveals associations between the maternal brain and mental health disorders, including autism

Overview of attention for article published in BMC Neuroscience, November 2013
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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3 X users

Citations

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28 Dimensions

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131 Mendeley
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Title
Development of a versatile enrichment analysis tool reveals associations between the maternal brain and mental health disorders, including autism
Published in
BMC Neuroscience, November 2013
DOI 10.1186/1471-2202-14-147
Pubmed ID
Authors

Brian E Eisinger, Michael C Saul, Terri M Driessen, Stephen C Gammie

Abstract

A recent study of lateral septum (LS) suggested a large number of autism-related genes with altered expression in the postpartum state. However, formally testing the findings for enrichment of autism-associated genes proved to be problematic with existing software. Many gene-disease association databases have been curated which are not currently incorporated in popular, full-featured enrichment tools, and the use of custom gene lists in these programs can be difficult to perform and interpret. As a simple alternative, we have developed the Modular Single-set Enrichment Test (MSET), a minimal tool that enables one to easily evaluate expression data for enrichment of any conceivable gene list of interest.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Brazil 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 16%
Student > Ph. D. Student 17 13%
Researcher 16 12%
Student > Bachelor 13 10%
Unspecified 11 8%
Other 28 21%
Unknown 25 19%
Readers by discipline Count As %
Psychology 24 18%
Medicine and Dentistry 19 15%
Unspecified 11 8%
Agricultural and Biological Sciences 8 6%
Biochemistry, Genetics and Molecular Biology 8 6%
Other 31 24%
Unknown 30 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2023.
All research outputs
#17,255,775
of 25,337,969 outputs
Outputs from BMC Neuroscience
#737
of 1,293 outputs
Outputs of similar age
#202,962
of 316,011 outputs
Outputs of similar age from BMC Neuroscience
#16
of 36 outputs
Altmetric has tracked 25,337,969 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,293 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 34th percentile – i.e., 34% 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 316,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 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 55% of its contemporaries.