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The footprint of metabolism in the organization of mammalian genomes

Overview of attention for article published in BMC Genomics, May 2012
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Title
The footprint of metabolism in the organization of mammalian genomes
Published in
BMC Genomics, May 2012
DOI 10.1186/1471-2164-13-174
Pubmed ID
Authors

Luisa Berná, Ankita Chaurasia, Claudia Angelini, Concetta Federico, Salvatore Saccone, Giuseppe D'Onofrio

Abstract

At present five evolutionary hypotheses have been proposed to explain the great variability of the genomic GC content among and within genomes: the mutational bias, the biased gene conversion, the DNA breakpoints distribution, the thermal stability and the metabolic rate. Several studies carried out on bacteria and teleostean fish pointed towards the critical role played by the environment on the metabolic rate in shaping the base composition of genomes. In mammals the debate is still open, and evidences have been produced in favor of each evolutionary hypothesis. Human genes were assigned to three large functional categories (as well as to the corresponding functional classes) according to the KOG database: (i) information storage and processing, (ii) cellular processes and signaling, and (iii) metabolism. The classification was extended to the organisms so far analyzed performing a reciprocal Blastp and selecting the best reciprocal hit. The base composition was calculated for each sequence of the whole CDS dataset.

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

Geographical breakdown

Country Count As %
Israel 1 3%
United States 1 3%
Germany 1 3%
Unknown 34 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 8 22%
Professor 3 8%
Student > Master 3 8%
Student > Bachelor 2 5%
Other 4 11%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 46%
Biochemistry, Genetics and Molecular Biology 4 11%
Mathematics 3 8%
Nursing and Health Professions 1 3%
Environmental Science 1 3%
Other 2 5%
Unknown 9 24%
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 13 May 2012.
All research outputs
#18,306,425
of 22,665,794 outputs
Outputs from BMC Genomics
#8,144
of 10,615 outputs
Outputs of similar age
#126,158
of 163,481 outputs
Outputs of similar age from BMC Genomics
#65
of 88 outputs
Altmetric has tracked 22,665,794 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 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.