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Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information

Overview of attention for article published in BMC Medical Genomics, January 2010
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7 CiteULike
Title
Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information
Published in
BMC Medical Genomics, January 2010
DOI 10.1186/1755-8794-3-1
Pubmed ID
Authors

Yonqing Zhang, Supriyo De, John R Garner, Kirstin Smith, S Alex Wang, Kevin G Becker

Abstract

The genetic contributions to human common disorders and mouse genetic models of disease are complex and often overlapping. In common human diseases, unlike classical Mendelian disorders, genetic factors generally have small effect sizes, are multifactorial, and are highly pleiotropic. Likewise, mouse genetic models of disease often have pleiotropic and overlapping phenotypes. Moreover, phenotypic descriptions in the literature in both human and mouse are often poorly characterized and difficult to compare directly.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Germany 5 4%
United Kingdom 3 2%
Spain 2 1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
New Zealand 1 <1%
Portugal 1 <1%
Canada 1 <1%
Other 1 <1%
Unknown 114 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 27%
Student > Ph. D. Student 32 24%
Student > Master 13 10%
Student > Bachelor 11 8%
Student > Doctoral Student 7 5%
Other 22 16%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 49%
Biochemistry, Genetics and Molecular Biology 17 13%
Medicine and Dentistry 17 13%
Computer Science 8 6%
Neuroscience 5 4%
Other 8 6%
Unknown 15 11%
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 25 May 2012.
All research outputs
#16,770,898
of 24,666,614 outputs
Outputs from BMC Medical Genomics
#733
of 1,341 outputs
Outputs of similar age
#142,738
of 172,518 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 3 outputs
Altmetric has tracked 24,666,614 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 1,341 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.
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