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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LoRTE: Detecting transposon-induced genomic variants using low coverage PacBio long read sequences
|
|---|---|
| Published in |
Mobile DNA, April 2017
|
| DOI | 10.1186/s13100-017-0088-x |
| Pubmed ID | |
| Authors |
Eric Disdero, Jonathan Filée |
| Abstract |
Population genomic analysis of transposable elements has greatly benefited from recent advances of sequencing technologies. However, the short size of the reads and the propensity of transposable elements to nest in highly repeated regions of genomes limits the efficiency of bioinformatic tools when Illumina or 454 technologies are used. Fortunately, long read sequencing technologies generating read length that may span the entire length of full transposons are now available. However, existing TE population genomic softwares were not designed to handle long reads and the development of new dedicated tools is needed. LoRTE is the first tool able to use PacBio long read sequences to identify transposon deletions and insertions between a reference genome and genomes of different strains or populations. Tested against simulated and genuine Drosophila melanogaster PacBio datasets, LoRTE appears to be a reliable and broadly applicable tool to study the dynamic and evolutionary impact of transposable elements using low coverage, long read sequences. LoRTE is an efficient and accurate tool to identify structural genomic variants caused by TE insertion or deletion. LoRTE is available for download at http://www.egce.cnrs-gif.fr/?p=6422. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
| Germany | 2 | 11% |
| Brazil | 2 | 11% |
| China | 1 | 6% |
| Sweden | 1 | 6% |
| France | 1 | 6% |
| Austria | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 78% |
| Members of the public | 4 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Canada | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 87 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 22% |
| Researcher | 20 | 22% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 6 | 7% |
| Student > Postgraduate | 5 | 5% |
| Other | 18 | 20% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 47% |
| Biochemistry, Genetics and Molecular Biology | 17 | 18% |
| Computer Science | 5 | 5% |
| Engineering | 3 | 3% |
| Chemical Engineering | 1 | 1% |
| Other | 7 | 8% |
| Unknown | 16 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 24 October 2019.
All research outputs
#2,875,048
of 24,162,141 outputs
Outputs from Mobile DNA
#67
of 344 outputs
Outputs of similar age
#52,473
of 313,571 outputs
Outputs of similar age from Mobile DNA
#2
of 5 outputs
Altmetric has tracked 24,162,141 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 344 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 80% 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 313,571 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 83% 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.