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A reference consensus genetic map for molecular markers and economically important traits in faba bean (Vicia faba L.)

Overview of attention for article published in BMC Genomics, January 2013
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Mentioned by

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1 tweeter

Citations

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37 Dimensions

Readers on

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49 Mendeley
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Title
A reference consensus genetic map for molecular markers and economically important traits in faba bean (Vicia faba L.)
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-932
Pubmed ID
Authors

Zlatko Satovic, Carmen M Avila, Serafin Cruz-Izquierdo, Ramón Díaz-Ruíz, Gloria M García-Ruíz, Carmen Palomino, Natalia Gutiérrez, Stefania Vitale, Sara Ocaña-Moral, María Gutiérrez, José I Cubero, Ana M Torres

Abstract

Faba bean (Vicia faba L.) is among the earliest domesticated crops from the Near East. Today this legume is a key protein feed and food worldwide and continues to serve an important role in culinary traditions throughout Middle East, Mediterranean region, China and Ethiopia. Adapted to a wide range of soil types, the main faba bean breeding objectives are to improve yield, resistance to biotic and abiotic stresses, seed quality and other agronomic traits. Genomic approaches aimed at enhancing faba bean breeding programs require high-quality genetic linkage maps to facilitate quantitative trait locus analysis and gene tagging for use in a marker-assisted selection. The objective of this study was to construct a reference consensus map in faba bean by joining the information from the most relevant maps reported so far in this crop.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
Italy 2 4%
France 1 2%
Czechia 1 2%
Mexico 1 2%
Indonesia 1 2%
Unknown 41 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 11 22%
Researcher 10 20%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 5 10%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 69%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 1 2%
Business, Management and Accounting 1 2%
Energy 1 2%
Other 2 4%
Unknown 7 14%

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 02 January 2014.
All research outputs
#2,331,882
of 4,505,915 outputs
Outputs from BMC Genomics
#2,400
of 4,113 outputs
Outputs of similar age
#59,747
of 122,814 outputs
Outputs of similar age from BMC Genomics
#111
of 201 outputs
Altmetric has tracked 4,505,915 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,113 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 31st percentile – i.e., 31% 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 122,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.