↓ Skip to main content

Transcriptome sequencing and microarray design for functional genomics in the extremophile Arabidopsis relative Thellungiella salsuginea (Eutrema salsugineum)

Overview of attention for article published in BMC Genomics, November 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
58 Mendeley
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.
Title
Transcriptome sequencing and microarray design for functional genomics in the extremophile Arabidopsis relative Thellungiella salsuginea (Eutrema salsugineum)
Published in
BMC Genomics, November 2013
DOI 10.1186/1471-2164-14-793
Pubmed ID
Authors

Yang Ping Lee, Federico M Giorgi, Marc Lohse, Kotryna Kvederaviciute, Sven Klages, Björn Usadel, Irute Meskiene, Richard Reinhardt, Dirk K Hincha

Abstract

Most molecular studies of plant stress tolerance have been performed with Arabidopsis thaliana, although it is not particularly stress tolerant and may lack protective mechanisms required to survive extreme environmental conditions. Thellungiella salsuginea has attracted interest as an alternative plant model species with high tolerance of various abiotic stresses. While the T. salsuginea genome has recently been sequenced, its annotation is still incomplete and transcriptomic information is scarce. In addition, functional genomics investigations in this species are severely hampered by a lack of affordable tools for genome-wide gene expression studies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
Ireland 1 2%
Canada 1 2%
Unknown 54 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 34%
Researcher 10 17%
Professor > Associate Professor 5 9%
Professor 5 9%
Student > Doctoral Student 4 7%
Other 9 16%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 78%
Biochemistry, Genetics and Molecular Biology 5 9%
Arts and Humanities 1 2%
Engineering 1 2%
Unknown 6 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 November 2013.
All research outputs
#20,210,424
of 22,731,677 outputs
Outputs from BMC Genomics
#9,254
of 10,628 outputs
Outputs of similar age
#184,906
of 212,302 outputs
Outputs of similar age from BMC Genomics
#114
of 155 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 212,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.