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Gene-Network Analysis Identifies Susceptibility Genes Related to Glycobiology in Autism

Overview of attention for article published in PLOS ONE, May 2009
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Mentioned by

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2 X users

Citations

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116 Dimensions

Readers on

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142 Mendeley
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3 CiteULike
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1 Connotea
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Title
Gene-Network Analysis Identifies Susceptibility Genes Related to Glycobiology in Autism
Published in
PLOS ONE, May 2009
DOI 10.1371/journal.pone.0005324
Pubmed ID
Authors

Bert van der Zwaag, Lude Franke, Martin Poot, Ron Hochstenbach, Henk A. Spierenburg, Jacob A. S. Vorstman, Emma van Daalen, Maretha V. de Jonge, Nienke E. Verbeek, Eva H. Brilstra, Ruben van 't Slot, Roel A. Ophoff, Michael A. van Es, Hylke M. Blauw, Jan H. Veldink, Jacobine E. Buizer-Voskamp, Frits A. Beemer, Leonard H. van den Berg, Cisca Wijmenga, Hans Kristian Ploos van Amstel, Herman van Engeland, J. Peter H. Burbach, Wouter G. Staal

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 2%
Germany 2 1%
France 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Japan 1 <1%
United States 1 <1%
Other 0 0%
Unknown 130 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 24%
Student > Ph. D. Student 31 22%
Student > Bachelor 14 10%
Student > Master 11 8%
Student > Postgraduate 10 7%
Other 30 21%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 40%
Medicine and Dentistry 19 13%
Biochemistry, Genetics and Molecular Biology 15 11%
Psychology 11 8%
Neuroscience 9 6%
Other 16 11%
Unknown 15 11%
Attention Score in Context

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 07 April 2024.
All research outputs
#16,920,837
of 25,656,290 outputs
Outputs from PLOS ONE
#152,282
of 223,868 outputs
Outputs of similar age
#106,950
of 125,403 outputs
Outputs of similar age from PLOS ONE
#431
of 511 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 223,868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 28th percentile – i.e., 28% 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 125,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 511 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.