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De novo assembly, characterization and functional annotation of Senegalese sole (Solea senegalensis) and common sole (Solea solea) transcriptomes: integration in a database and design of a microarray

Overview of attention for article published in BMC Genomics, November 2014
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Title
De novo assembly, characterization and functional annotation of Senegalese sole (Solea senegalensis) and common sole (Solea solea) transcriptomes: integration in a database and design of a microarray
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-952
Pubmed ID
Authors

Hicham Benzekri, Paula Armesto, Xavier Cousin, Mireia Rovira, Diego Crespo, Manuel Alejandro Merlo, David Mazurais, Rocío Bautista, Darío Guerrero-Fernández, Noe Fernandez-Pozo, Marian Ponce, Carlos Infante, Jose Luis Zambonino, Sabine Nidelet, Marta Gut, Laureana Rebordinos, Josep V Planas, Marie-Laure Bégout, M Gonzalo Claros, Manuel Manchado

Abstract

Senegalese sole (Solea senegalensis) and common sole (S. solea) are two economically and evolutionary important flatfish species both in fisheries and aquaculture. Although some genomic resources and tools were recently described in these species, further sequencing efforts are required to establish a complete transcriptome, and to identify new molecular markers. Moreover, the comparative analysis of transcriptomes will be useful to understand flatfish evolution.

X Demographics

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

Geographical breakdown

Country Count As %
Spain 2 2%
United Kingdom 1 <1%
Belgium 1 <1%
Unknown 104 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 16 15%
Student > Master 12 11%
Student > Bachelor 12 11%
Student > Doctoral Student 9 8%
Other 18 17%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 36%
Biochemistry, Genetics and Molecular Biology 24 22%
Environmental Science 6 6%
Computer Science 4 4%
Veterinary Science and Veterinary Medicine 2 2%
Other 10 9%
Unknown 23 21%
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 05 November 2014.
All research outputs
#17,731,162
of 22,769,322 outputs
Outputs from BMC Genomics
#7,551
of 10,639 outputs
Outputs of similar age
#176,781
of 262,158 outputs
Outputs of similar age from BMC Genomics
#178
of 254 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 262,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.