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Mendeley readers
Title |
High-density linkage mapping in a pine tree reveals a genomic region associated with inbreeding depression and provides clues to the extent and distribution of meiotic recombination
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Published in |
BMC Biology, April 2013
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DOI | 10.1186/1741-7007-11-50 |
Pubmed ID | |
Authors |
Emilie Chancerel, Jean-Baptiste Lamy, Isabelle Lesur, Céline Noirot, Christophe Klopp, François Ehrenmann, Christophe Boury, Grégoire Le Provost, Philippe Label, Céline Lalanne, Valérie Léger, Franck Salin, Jean-Marc Gion, Christophe Plomion |
Abstract |
The availability of a large expressed sequence tags (EST) resource and recent advances in high-throughput genotyping technology have made it possible to develop highly multiplexed SNP arrays for multi-objective genetic applications, including the construction of meiotic maps. Such approaches are particularly useful in species with a large genome size, precluding the use of whole-genome shotgun assembly with current technologies. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 1% |
France | 1 | 1% |
Norway | 1 | 1% |
Argentina | 1 | 1% |
Spain | 1 | 1% |
United States | 1 | 1% |
Unknown | 73 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 30% |
Student > Ph. D. Student | 21 | 27% |
Student > Postgraduate | 8 | 10% |
Student > Master | 8 | 10% |
Professor > Associate Professor | 4 | 5% |
Other | 5 | 6% |
Unknown | 9 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 57 | 72% |
Environmental Science | 5 | 6% |
Biochemistry, Genetics and Molecular Biology | 5 | 6% |
Medicine and Dentistry | 2 | 3% |
Psychology | 1 | 1% |
Other | 1 | 1% |
Unknown | 8 | 10% |