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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of genetic variation for the LINE-1 retrotransposon from next generation sequence data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-s9-s12 |
| Pubmed ID | |
| Authors |
Eric Rouchka, Diego E Montoya-Durango, Vilius Stribinskis, Kenneth Ramos, Ted Kalbfleisch |
| Abstract |
In humans, copies of the Long Interspersed Nuclear Element 1 (LINE-1) retrotransposon comprise 21% of the reference genome, and have been shown to modulate expression and produce novel splice isoforms of transcripts from genes that span or neighbor the LINE-1 insertion site. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Greece | 1 | 3% |
| Russia | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 27 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 32% |
| Researcher | 9 | 29% |
| Student > Master | 5 | 16% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 55% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Medicine and Dentistry | 2 | 6% |
| Computer Science | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 December 2014.
All research outputs
#15,312,760
of 22,774,233 outputs
Outputs from BMC Bioinformatics
#5,373
of 7,276 outputs
Outputs of similar age
#79,471
of 99,397 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 56 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,276 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 18th percentile – i.e., 18% 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 99,397 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.