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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modular organization and reticulate evolution of the ORF1 of Jockey superfamily transposable elements
|
|---|---|
| Published in |
Mobile DNA, July 2014
|
| DOI | 10.1186/1759-8753-5-19 |
| Pubmed ID | |
| Authors |
Cushla J Metcalfe, Didier Casane |
| Abstract |
Long interspersed nuclear elements (LINES) are the most common transposable element (TE) in almost all metazoan genomes examined. In most LINE superfamilies there are two open reading frames (ORFs), and both are required for transposition. The ORF2 is well characterized, while the structure and function of the ORF1 is less well understood. ORF1s have been classified into five types based on structural organization and the domains identified. Here we perform a large scale analysis of ORF1 domains of 448 elements from the Jockey superfamily using multiple alignments and Hidden Markov Model (HMM)-HMM comparisons. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 5% |
| Canada | 1 | 2% |
| Unknown | 40 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 28% |
| Researcher | 6 | 14% |
| Student > Bachelor | 6 | 14% |
| Student > Postgraduate | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 2 | 5% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 44% |
| Biochemistry, Genetics and Molecular Biology | 12 | 28% |
| Immunology and Microbiology | 2 | 5% |
| Computer Science | 1 | 2% |
| Unknown | 9 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 August 2014.
All research outputs
#15,739,010
of 25,371,288 outputs
Outputs from Mobile DNA
#277
of 363 outputs
Outputs of similar age
#128,417
of 242,344 outputs
Outputs of similar age from Mobile DNA
#5
of 7 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 363 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 22nd percentile – i.e., 22% 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 242,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.