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Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

Overview of attention for article published in BMC Genomics, April 2011
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1 X user

Citations

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117 Dimensions

Readers on

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248 Mendeley
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4 CiteULike
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Title
Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
Published in
BMC Genomics, April 2011
DOI 10.1186/1471-2164-12-199
Pubmed ID
Authors

S Samuel Yang, Zheng Jin Tu, Foo Cheung, Wayne Wenzhong Xu, JoAnn FS Lamb, Hans-Joachim G Jung, Carroll P Vance, John W Gronwald

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

Geographical breakdown

Country Count As %
Brazil 3 1%
Germany 2 <1%
Malaysia 2 <1%
Colombia 2 <1%
United States 2 <1%
Sweden 2 <1%
Montenegro 1 <1%
Italy 1 <1%
Austria 1 <1%
Other 6 2%
Unknown 226 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 29%
Researcher 68 27%
Student > Master 34 14%
Student > Doctoral Student 15 6%
Professor 8 3%
Other 31 13%
Unknown 20 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 195 79%
Biochemistry, Genetics and Molecular Biology 19 8%
Environmental Science 3 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Computer Science 1 <1%
Other 5 2%
Unknown 24 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 09 August 2011.
All research outputs
#20,693,952
of 23,292,144 outputs
Outputs from BMC Genomics
#9,354
of 10,739 outputs
Outputs of similar age
#103,569
of 110,582 outputs
Outputs of similar age from BMC Genomics
#58
of 59 outputs
Altmetric has tracked 23,292,144 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 10,739 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 110,582 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 59 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.