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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next generation sequencing and de novo transcriptomics to study gene evolution
|
|---|---|
| Published in |
Plant Methods, October 2014
|
| DOI | 10.1186/1746-4811-10-34 |
| Pubmed ID | |
| Authors |
Achala S Jayasena, David Secco, Kalia Bernath-Levin, Oliver Berkowitz, James Whelan, Joshua S Mylne |
| Abstract |
Studying gene evolution in non-model species by PCR-based approaches is limited to highly conserved genes. The plummeting cost of next generation sequencing enables the application of de novo transcriptomics to any species. |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| Uruguay | 1 | 2% |
| Brazil | 1 | 2% |
| Slovenia | 1 | 2% |
| Thailand | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Researcher | 11 | 19% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 47% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Environmental Science | 2 | 4% |
| Chemistry | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 12 | 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 22 October 2014.
All research outputs
#14,549,452
of 23,301,510 outputs
Outputs from Plant Methods
#727
of 1,102 outputs
Outputs of similar age
#136,110
of 260,579 outputs
Outputs of similar age from Plant Methods
#6
of 10 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 30th percentile – i.e., 30% 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 260,579 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.