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Next generation sequencing and de novo transcriptomics to study gene evolution

Overview of attention for article published in Plant Methods, October 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
44 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 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 38 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Ph. D. Student 10 23%
Student > Bachelor 6 14%
Student > Master 6 14%
Lecturer 2 5%
Other 6 14%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 55%
Biochemistry, Genetics and Molecular Biology 9 20%
Environmental Science 2 5%
Computer Science 1 2%
Medicine and Dentistry 1 2%
Other 2 5%
Unknown 5 11%

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
#10,801,293
of 17,985,184 outputs
Outputs from Plant Methods
#551
of 864 outputs
Outputs of similar age
#116,190
of 240,123 outputs
Outputs of similar age from Plant Methods
#7
of 11 outputs
Altmetric has tracked 17,985,184 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 864 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 32nd percentile – i.e., 32% 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 240,123 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.