You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
TRAPID: an efficient online tool for the functional and comparative analysis of de novo RNA-Seq transcriptomes
|
|---|---|
| Published in |
Genome Biology, January 2013
|
| DOI | 10.1186/gb-2013-14-12-r134 |
| Pubmed ID | |
| Authors |
Michiel Van Bel, Sebastian Proost, Christophe Van Neste, Dieter Deforce, Yves Van de Peer, Klaas Vandepoele |
| Abstract |
Transcriptome analysis through next-generation sequencing technologies allows the generation of detailed gene catalogs for non-model species, at the cost of new challenges with regards to computational requirements and bioinformatics expertise. Here, we present TRAPID, an online tool for the fast and efficient processing of assembled RNA-Seq transcriptome data, developed to mitigate these challenges. TRAPID offers high-throughput open reading frame detection, frameshift correction and includes a functional, comparative and phylogenetic toolbox, making use of 175 reference proteomes. Benchmarking and comparison against state-of-the-art transcript analysis tools reveals the efficiency and unique features of the TRAPID system. TRAPID is freely available at http://bioinformatics.psb.ugent.be/webtools/trapid/. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 6 | 21% |
| United Kingdom | 5 | 17% |
| France | 2 | 7% |
| Belgium | 2 | 7% |
| Netherlands | 1 | 3% |
| China | 1 | 3% |
| India | 1 | 3% |
| Germany | 1 | 3% |
| Italy | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 48% |
| Members of the public | 14 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Spain | 4 | 2% |
| Brazil | 3 | 1% |
| United Kingdom | 2 | <1% |
| Italy | 2 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 212 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 26% |
| Student > Ph. D. Student | 59 | 25% |
| Student > Master | 33 | 14% |
| Student > Bachelor | 17 | 7% |
| Student > Doctoral Student | 9 | 4% |
| Other | 30 | 13% |
| Unknown | 26 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 139 | 59% |
| Biochemistry, Genetics and Molecular Biology | 33 | 14% |
| Environmental Science | 8 | 3% |
| Computer Science | 6 | 3% |
| Psychology | 2 | <1% |
| Other | 9 | 4% |
| Unknown | 38 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 02 October 2017.
All research outputs
#1,778,677
of 24,694,993 outputs
Outputs from Genome Biology
#1,513
of 4,372 outputs
Outputs of similar age
#16,600
of 291,254 outputs
Outputs of similar age from Genome Biology
#63
of 175 outputs
Altmetric has tracked 24,694,993 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 65% 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 291,254 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 175 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.