| 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 176 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% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Taiwan | 1 | <1% |
| Norway | 1 | <1% |
| France | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 157 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 25% |
| Researcher | 39 | 22% |
| Student > Master | 22 | 13% |
| Student > Bachelor | 14 | 8% |
| Student > Doctoral Student | 7 | 4% |
| Other | 30 | 17% |
| Unknown | 20 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 48% |
| Biochemistry, Genetics and Molecular Biology | 49 | 28% |
| Engineering | 6 | 3% |
| Computer Science | 5 | 3% |
| Unspecified | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 25 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 29 December 2022.
All research outputs
#1,952,887
of 23,437,201 outputs
Outputs from BMC Genomics
#514
of 10,771 outputs
Outputs of similar age
#8,795
of 173,416 outputs
Outputs of similar age from BMC Genomics
#5
of 122 outputs
Altmetric has tracked 23,437,201 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,771 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 95% 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 173,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.