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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assembly, Assessment, and Availability of De novo Generated Eukaryotic Transcriptomes
|
|---|---|
| Published in |
Frontiers in Genetics, January 2016
|
| DOI | 10.3389/fgene.2015.00361 |
| Pubmed ID | |
| Authors |
Joanna Moreton, Abril Izquierdo, Richard D. Emes |
| Abstract |
De novo assembly of a complete transcriptome without the need for a guiding reference genome is attractive, particularly where the cost and complexity of generating a eukaryote genome is prohibitive. The transcriptome should not however be seen as just a quick and cheap alternative to building a complete genome. Transcriptomics allows the understanding and comparison of spatial and temporal samples within an organism, and allows surveying of multiple individuals or closely related species. De novo assembly in theory allows the building of a complete transcriptome without any prior knowledge of the genome. It also allows the discovery of alternate splice forms of coding RNAs and also non-coding RNAs, which are often missed by proteomic approaches, or are incompletely annotated in genome studies. The limitations of the method are that the generation of a truly complete assembly is unlikely, and so we require some methods for the assessment of the quality and appropriateness of a generated transcriptome. Whilst no single consensus pipeline or tool is agreed as optimal, various algorithms, and easy to use software do exist making transcriptome generation a more common approach. With this expansion of data, questions still exist relating to how do we make these datasets fully discoverable, comparable and most useful to understand complex biological systems? |
X Demographics
The data shown below were collected from the profiles of 21 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 | 3 | 14% |
| United States | 2 | 10% |
| France | 2 | 10% |
| Finland | 1 | 5% |
| Brazil | 1 | 5% |
| Norway | 1 | 5% |
| Canada | 1 | 5% |
| New Zealand | 1 | 5% |
| Japan | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 57% |
| Members of the public | 9 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Sweden | 1 | <1% |
| Chile | 1 | <1% |
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 203 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 27% |
| Student > Master | 34 | 16% |
| Researcher | 32 | 15% |
| Student > Bachelor | 18 | 8% |
| Student > Doctoral Student | 13 | 6% |
| Other | 30 | 14% |
| Unknown | 28 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 46% |
| Biochemistry, Genetics and Molecular Biology | 51 | 24% |
| Computer Science | 11 | 5% |
| Medicine and Dentistry | 3 | 1% |
| Engineering | 3 | 1% |
| Other | 14 | 7% |
| Unknown | 33 | 16% |
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 10 August 2017.
All research outputs
#2,834,104
of 24,287,598 outputs
Outputs from Frontiers in Genetics
#715
of 13,052 outputs
Outputs of similar age
#48,442
of 403,818 outputs
Outputs of similar age from Frontiers in Genetics
#11
of 56 outputs
Altmetric has tracked 24,287,598 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 13,052 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 403,818 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 87% of its contemporaries.
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 has done well, scoring higher than 82% of its contemporaries.