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Gene co-citation networks associated with worker sterility in honey bees

Overview of attention for article published in BMC Systems Biology, March 2014
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3 X users

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mendeley
41 Mendeley
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2 CiteULike
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Title
Gene co-citation networks associated with worker sterility in honey bees
Published in
BMC Systems Biology, March 2014
DOI 10.1186/1752-0509-8-38
Pubmed ID
Authors

Emma Kate Mullen, Mark Daley, Alanna Gabrielle Backx, Graham James Thompson

Abstract

The evolution of reproductive self-sacrifice is well understood from kin theory, yet our understanding of how actual genes influence the expression of reproductive altruism is only beginning to take shape. As a model in the molecular study of social behaviour, the honey bee Apis mellifera has yielded hundreds of genes associated in their expression with differences in reproductive status of females, including genes directly associated with sterility, yet there has not been an attempt to link these candidates into functional networks that explain how workers regulate sterility in the presence of queen pheromone. In this study we use available microarray data and a co-citation analysis to describe what gene interactions might regulate a worker's response to ovary suppressing queen pheromone.

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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
United States 1 2%
Germany 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 27%
Student > Master 7 17%
Student > Doctoral Student 6 15%
Researcher 6 15%
Student > Ph. D. Student 3 7%
Other 2 5%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 39%
Biochemistry, Genetics and Molecular Biology 9 22%
Medicine and Dentistry 2 5%
Social Sciences 2 5%
Computer Science 2 5%
Other 3 7%
Unknown 7 17%
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 18 July 2014.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from BMC Systems Biology
#613
of 1,132 outputs
Outputs of similar age
#137,078
of 238,081 outputs
Outputs of similar age from BMC Systems Biology
#19
of 36 outputs
Altmetric has tracked 25,373,627 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 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 42nd percentile – i.e., 42% 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 238,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% 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 is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.