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Patterns of exon-intron architecture variation of genes in eukaryotic genomes

Overview of attention for article published in BMC Genomics, January 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
2 blogs
wikipedia
1 Wikipedia page

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
162 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
Title
Patterns of exon-intron architecture variation of genes in eukaryotic genomes
Published in
BMC Genomics, January 2009
DOI 10.1186/1471-2164-10-47
Pubmed ID
Authors

Liucun Zhu, Ying Zhang, Wen Zhang, Sihai Yang, Jian-Qun Chen, Dacheng Tian

Abstract

The origin and importance of exon-intron architecture comprises one of the remaining mysteries of gene evolution. Several studies have investigated the variations of intron length, GC content, ordinal position in a gene and divergence. However, there is little study about the structural variation of exons and introns.

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 4 2%
Germany 2 1%
Spain 2 1%
Taiwan 1 <1%
France 1 <1%
Norway 1 <1%
Thailand 1 <1%
Brazil 1 <1%
Other 1 <1%
Unknown 143 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 27%
Researcher 38 23%
Student > Master 20 12%
Student > Bachelor 13 8%
Other 7 4%
Other 28 17%
Unknown 12 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 52%
Biochemistry, Genetics and Molecular Biology 45 28%
Engineering 6 4%
Computer Science 5 3%
Unspecified 2 1%
Other 4 2%
Unknown 15 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 January 2017.
All research outputs
#1,793,862
of 18,499,920 outputs
Outputs from BMC Genomics
#602
of 9,596 outputs
Outputs of similar age
#20,754
of 197,638 outputs
Outputs of similar age from BMC Genomics
#2
of 5 outputs
Altmetric has tracked 18,499,920 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,596 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 93% 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 197,638 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 89% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.