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The relationship between proteome size, structural disorder and organism complexity

Overview of attention for article published in Genome Biology, December 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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154 Dimensions

Readers on

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186 Mendeley
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5 CiteULike
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Title
The relationship between proteome size, structural disorder and organism complexity
Published in
Genome Biology, December 2011
DOI 10.1186/gb-2011-12-12-r120
Pubmed ID
Authors

Eva Schad, Peter Tompa, Hedi Hegyi

Abstract

Sequencing the genomes of the first few eukaryotes created the impression that gene number shows no correlation with organism complexity, often referred to as the G-value paradox. Several attempts have previously been made to resolve this paradox, citing multifunctionality of proteins, alternative splicing, microRNAs or non-coding DNA. As intrinsic protein disorder has been linked with complex responses to environmental stimuli and communication between cells, an additional possibility is that structural disorder may effectively increase the complexity of species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
United Kingdom 2 1%
Germany 1 <1%
France 1 <1%
Hungary 1 <1%
Australia 1 <1%
Brazil 1 <1%
India 1 <1%
Colombia 1 <1%
Other 4 2%
Unknown 166 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 29%
Researcher 45 24%
Student > Master 17 9%
Student > Bachelor 15 8%
Professor 6 3%
Other 27 15%
Unknown 22 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 46%
Biochemistry, Genetics and Molecular Biology 47 25%
Computer Science 8 4%
Chemistry 6 3%
Medicine and Dentistry 4 2%
Other 10 5%
Unknown 26 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 July 2012.
All research outputs
#6,275,200
of 25,371,288 outputs
Outputs from Genome Biology
#3,019
of 4,467 outputs
Outputs of similar age
#50,838
of 248,691 outputs
Outputs of similar age from Genome Biology
#25
of 41 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 248,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.