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Generation and analysis of expressed sequence tags in the extreme large genomes Lilium and Tulipa

Overview of attention for article published in BMC Genomics, November 2012
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Title
Generation and analysis of expressed sequence tags in the extreme large genomes Lilium and Tulipa
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-640
Pubmed ID
Authors

Arwa Shahin, Martijn van Kaauwen, Danny Esselink, Joachim W Bargsten, Jaap M van Tuyl, Richard GF Visser, Paul Arens

Abstract

Bulbous flowers such as lily and tulip (Liliaceae family) are monocot perennial herbs that are economically very important ornamental plants worldwide. However, there are hardly any genetic studies performed and genomic resources are lacking. To build genomic resources and develop tools to speed up the breeding in both crops, next generation sequencing was implemented. We sequenced and assembled transcriptomes of four lily and five tulip genotypes using 454 pyro-sequencing technology.

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 11 19%
Student > Postgraduate 6 10%
Student > Bachelor 5 8%
Student > Master 5 8%
Other 11 19%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 68%
Biochemistry, Genetics and Molecular Biology 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Unknown 12 20%
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 21 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Genomics
#6,660
of 10,616 outputs
Outputs of similar age
#178,105
of 275,819 outputs
Outputs of similar age from BMC Genomics
#257
of 383 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 275,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 383 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.