The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
RNA-Seq Assembly – Are We There Yet?
|
|---|---|
| Published in |
Frontiers in Plant Science, January 2012
|
| DOI | 10.3389/fpls.2012.00220 |
| Pubmed ID | |
| Authors |
Simon Schliesky, Udo Gowik, Andreas P. M. Weber, Andrea Bräutigam |
| Abstract |
Transcriptomic sequence resources represent invaluable assets for research, in particular for non-model species without a sequenced genome. To date, the Next Generation Sequencing technologies 454/Roche and Illumina have been used to generate transcriptome sequence databases by mRNA-Seq for more than fifty different plant species. While some of the databases were successfully used for downstream applications, such as proteomics, the assembly parameters indicate that the assemblies do not yet accurately reflect the actual plant transcriptomes. Two different assembly strategies have been used, overlap consensus based assemblers for long reads and Eulerian path/de Bruijn graph assembler for short reads. In this review, we discuss the challenges and solutions to the transcriptome assembly problem. A list of quality control parameters and the necessary scripts to produce them are provided. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 25% |
| United Kingdom | 3 | 15% |
| Germany | 2 | 10% |
| Chile | 1 | 5% |
| Australia | 1 | 5% |
| Pakistan | 1 | 5% |
| Switzerland | 1 | 5% |
| Mexico | 1 | 5% |
| Unknown | 5 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 55% |
| Members of the public | 9 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 351 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 1% |
| Spain | 4 | 1% |
| United States | 4 | 1% |
| United Kingdom | 3 | <1% |
| Colombia | 2 | <1% |
| Argentina | 2 | <1% |
| Australia | 2 | <1% |
| India | 2 | <1% |
| Brazil | 2 | <1% |
| Other | 12 | 3% |
| Unknown | 313 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 91 | 26% |
| Student > Ph. D. Student | 86 | 25% |
| Student > Master | 52 | 15% |
| Student > Doctoral Student | 20 | 6% |
| Student > Bachelor | 16 | 5% |
| Other | 51 | 15% |
| Unknown | 35 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 228 | 65% |
| Biochemistry, Genetics and Molecular Biology | 48 | 14% |
| Computer Science | 16 | 5% |
| Engineering | 6 | 2% |
| Environmental Science | 3 | <1% |
| Other | 12 | 3% |
| Unknown | 38 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 29 June 2019.
All research outputs
#1,640,837
of 22,679,690 outputs
Outputs from Frontiers in Plant Science
#571
of 19,852 outputs
Outputs of similar age
#12,344
of 244,102 outputs
Outputs of similar age from Frontiers in Plant Science
#5
of 195 outputs
Altmetric has tracked 22,679,690 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 19,852 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 97% 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 244,102 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 195 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.