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Transcriptome sequencing of two wild barley (Hordeum spontaneum L.) ecotypes differentially adapted to drought stress reveals ecotype-specific transcripts

Overview of attention for article published in BMC Genomics, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
1 CiteULike
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Title
Transcriptome sequencing of two wild barley (Hordeum spontaneum L.) ecotypes differentially adapted to drought stress reveals ecotype-specific transcripts
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-995
Pubmed ID
Authors

Girma Bedada, Anna Westerbergh, Thomas Müller, Eyal Galkin, Eyal Bdolach, Menachem Moshelion, Eyal Fridman, Karl J Schmid

Abstract

Wild barley is adapted to highly diverse environments throughout its geographical distribution range. Transcriptome sequencing of differentially adapted wild barley ecotypes from contrasting environments contributes to the identification of genes and genetic variation involved in abiotic stress tolerance and adaptation.

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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
India 1 1%
Ireland 1 1%
Brazil 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 32%
Researcher 22 22%
Student > Master 11 11%
Student > Postgraduate 5 5%
Professor > Associate Professor 4 4%
Other 15 15%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 70%
Biochemistry, Genetics and Molecular Biology 7 7%
Environmental Science 4 4%
Computer Science 2 2%
Nursing and Health Professions 2 2%
Other 4 4%
Unknown 11 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 January 2015.
All research outputs
#3,335,187
of 13,181,286 outputs
Outputs from BMC Genomics
#1,862
of 7,756 outputs
Outputs of similar age
#67,215
of 294,499 outputs
Outputs of similar age from BMC Genomics
#41
of 191 outputs
Altmetric has tracked 13,181,286 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,756 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% 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 294,499 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 76% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.