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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transposable Element Insertions in Long Intergenic Non-Coding RNA Genes
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, June 2015
|
| DOI | 10.3389/fbioe.2015.00071 |
| Pubmed ID | |
| Authors |
Sivakumar Kannan, Diana Chernikova, Igor B. Rogozin, Eugenia Poliakov, David Managadze, Eugene V. Koonin, Luciano Milanesi |
| Abstract |
Transposable elements (TEs) are abundant in mammalian genomes and appear to have contributed to the evolution of their hosts by providing novel regulatory or coding sequences. We analyzed different regions of long intergenic non-coding RNA (lincRNA) genes in human and mouse genomes to systematically assess the potential contribution of TEs to the evolution of the structure and regulation of expression of lincRNA genes. Introns of lincRNA genes contain the highest percentage of TE-derived sequences (TES), followed by exons and then promoter regions although the density of TEs is not significantly different between exons and promoters. Higher frequencies of ancient TEs in promoters and exons compared to introns implies that many lincRNA genes emerged before the split of primates and rodents. The content of TES in lincRNA genes is substantially higher than that in protein-coding genes, especially in exons and promoter regions. A significant positive correlation was detected between the content of TEs and evolutionary rate of lincRNAs indicating that inserted TEs are preferentially fixed in fast-evolving lincRNA genes. These results are consistent with the repeat insertion domains of LncRNAs hypothesis under which TEs have substantially contributed to the origin, evolution, and, in particular, fast functional diversification, of lincRNA genes. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 13% |
| Japan | 1 | 13% |
| United States | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 79 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 25% |
| Researcher | 13 | 16% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Other | 6 | 7% |
| Other | 9 | 11% |
| Unknown | 18 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 44% |
| Biochemistry, Genetics and Molecular Biology | 19 | 23% |
| Computer Science | 3 | 4% |
| Immunology and Microbiology | 2 | 2% |
| Unspecified | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 18 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 June 2017.
All research outputs
#6,953,472
of 22,803,211 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,102
of 6,524 outputs
Outputs of similar age
#82,258
of 266,420 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#12
of 49 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 82% 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 266,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.