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Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells

Overview of attention for article published in BMC Genomics, January 2009
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1 tweeter

Citations

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134 Dimensions

Readers on

mendeley
227 Mendeley
citeulike
4 CiteULike
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2 Connotea
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Title
Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells
Published in
BMC Genomics, January 2009
DOI 10.1186/1471-2164-10-327
Pubmed ID
Authors

Mike J Mason, Guoping Fan, Kathrin Plath, Qing Zhou, Steve Horvath

Abstract

Recent work has revealed that a core group of transcription factors (TFs) regulates the key characteristics of embryonic stem (ES) cells: pluripotency and self-renewal. Current efforts focus on identifying genes that play important roles in maintaining pluripotency and self-renewal in ES cells and aim to understand the interactions among these genes. To that end, we investigated the use of unsigned and signed network analysis to identify pluripotency and differentiation related genes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
United Kingdom 3 1%
India 2 <1%
Sweden 2 <1%
Brazil 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Korea, Republic of 1 <1%
Other 1 <1%
Unknown 203 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 33%
Researcher 71 31%
Student > Master 19 8%
Student > Doctoral Student 11 5%
Student > Bachelor 9 4%
Other 31 14%
Unknown 10 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 116 51%
Biochemistry, Genetics and Molecular Biology 37 16%
Computer Science 12 5%
Engineering 10 4%
Mathematics 9 4%
Other 27 12%
Unknown 16 7%

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 01 October 2014.
All research outputs
#9,906,289
of 12,373,620 outputs
Outputs from BMC Genomics
#5,681
of 7,296 outputs
Outputs of similar age
#144,211
of 215,398 outputs
Outputs of similar age from BMC Genomics
#46
of 55 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% 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 215,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.