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Integrated analysis of cytochrome P450 gene superfamily in the red flour beetle, Tribolium castaneum

Overview of attention for article published in BMC Genomics, March 2013
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Integrated analysis of cytochrome P450 gene superfamily in the red flour beetle, Tribolium castaneum
Published in
BMC Genomics, March 2013
DOI 10.1186/1471-2164-14-174
Pubmed ID
Authors

Fang Zhu, Timothy W Moural, Kapil Shah, Subba Reddy Palli

Abstract

The functional and evolutionary diversification of insect cytochrome P450s (CYPs) shaped the success of insects. CYPs constitute one of the largest and oldest gene superfamilies that are found in virtually all aerobic organisms. Because of the availability of whole genome sequence and well functioning RNA interference (RNAi), the red flour beetle, Tribolium castaneum serves as an ideal insect model for conducting functional genomics studies. Although several T. castaneum CYPs had been functionally investigated in our previous studies, the roles of the majority of CYPs remain largely unknown. Here, we comprehensively analyzed the phylogenetic relationship of all T. castaneum CYPs with genes in other insect species, investigated the CYP6BQ gene cluster organization, function and evolution, as well as examined the mitochondrial CYPs gene expression patterns and intron-exon organization.

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

Geographical breakdown

Country Count As %
Germany 1 1%
France 1 1%
Japan 1 1%
United States 1 1%
Poland 1 1%
Unknown 95 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 24%
Researcher 19 19%
Student > Master 11 11%
Student > Postgraduate 5 5%
Student > Bachelor 4 4%
Other 15 15%
Unknown 22 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 50%
Biochemistry, Genetics and Molecular Biology 16 16%
Environmental Science 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Business, Management and Accounting 1 1%
Other 3 3%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2013.
All research outputs
#13,541,585
of 23,577,654 outputs
Outputs from BMC Genomics
#4,848
of 10,777 outputs
Outputs of similar age
#104,378
of 197,829 outputs
Outputs of similar age from BMC Genomics
#54
of 133 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 54% 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 197,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 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 58% of its contemporaries.