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GenePainter: a fast tool for aligning gene structures of eukaryotic protein families, visualizing the alignments and mapping gene structures onto protein structures

Overview of attention for article published in BMC Bioinformatics, March 2013
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Title
GenePainter: a fast tool for aligning gene structures of eukaryotic protein families, visualizing the alignments and mapping gene structures onto protein structures
Published in
BMC Bioinformatics, March 2013
DOI 10.1186/1471-2105-14-77
Pubmed ID
Authors

Björn Hammesfahr, Florian Odronitz, Stefanie Mühlhausen, Stephan Waack, Martin Kollmar

Abstract

All sequenced eukaryotic genomes have been shown to possess at least a few introns. This includes those unicellular organisms, which were previously suspected to be intron-less. Therefore, gene splicing must have been present at least in the last common ancestor of the eukaryotes. To explain the evolution of introns, basically two mutually exclusive concepts have been developed. The introns-early hypothesis says that already the very first protein-coding genes contained introns while the introns-late concept asserts that eukaryotic genes gained introns only after the emergence of the eukaryotic lineage. A very important aspect in this respect is the conservation of intron positions within homologous genes of different taxa.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Sweden 1 2%
Brazil 1 2%
Spain 1 2%
Taiwan 1 2%
Unknown 55 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 28%
Researcher 16 26%
Other 7 11%
Student > Postgraduate 4 7%
Professor > Associate Professor 4 7%
Other 10 16%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 64%
Biochemistry, Genetics and Molecular Biology 12 20%
Computer Science 4 7%
Arts and Humanities 2 3%
Chemistry 1 2%
Other 0 0%
Unknown 3 5%
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 11 March 2013.
All research outputs
#13,884,212
of 22,699,621 outputs
Outputs from BMC Bioinformatics
#4,469
of 7,254 outputs
Outputs of similar age
#109,037
of 194,612 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 144 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% 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 194,612 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.