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Transcriptomic and phylogenetic analysis of a bacterial cell cycle reveals strong associations between gene co-expression and evolution

Overview of attention for article published in BMC Genomics, January 2013
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
80 Mendeley
citeulike
2 CiteULike
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Title
Transcriptomic and phylogenetic analysis of a bacterial cell cycle reveals strong associations between gene co-expression and evolution
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-450
Pubmed ID
Authors

Gang Fang, Karla D Passalacqua, Jason Hocking, Paula Llopis, Mark Gerstein, Nicholas H Bergman, Christine Jacobs-Wagner

Abstract

The genetic network involved in the bacterial cell cycle is poorly understood even though it underpins the remarkable ability of bacteria to proliferate. How such network evolves is even less clear. The major aims of this work were to identify and examine the genes and pathways that are differentially expressed during the Caulobacter crescentus cell cycle, and to analyze the evolutionary features of the cell cycle network.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 1%
India 1 1%
Taiwan 1 1%
Netherlands 1 1%
Unknown 74 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 24%
Student > Ph. D. Student 18 23%
Student > Master 9 11%
Student > Bachelor 6 8%
Student > Doctoral Student 5 6%
Other 16 20%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 48%
Biochemistry, Genetics and Molecular Biology 19 24%
Environmental Science 6 8%
Engineering 3 4%
Immunology and Microbiology 2 3%
Other 5 6%
Unknown 7 9%

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 19 April 2017.
All research outputs
#6,682,489
of 12,378,406 outputs
Outputs from BMC Genomics
#3,351
of 7,251 outputs
Outputs of similar age
#61,563
of 150,609 outputs
Outputs of similar age from BMC Genomics
#71
of 155 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 150,609 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 155 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 50% of its contemporaries.