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An SNP-based second-generation genetic map of Daphnia magna and its application to QTL analysis of phenotypic traits

Overview of attention for article published in BMC Genomics, November 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
74 Mendeley
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Title
An SNP-based second-generation genetic map of Daphnia magna and its application to QTL analysis of phenotypic traits
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1033
Pubmed ID
Authors

Jarkko Routtu, Matthew D Hall, Brian Albere, Christian Beisel, R Daniel Bergeron, Anurag Chaturvedi, Jeong-Hyeon Choi, John Colbourne, Luc De Meester, Melissa T Stephens, Claus-Peter Stelzer, Eleanne Solorzano, W Kelley Thomas, Michael E Pfrender, Dieter Ebert

Abstract

Although Daphnia is increasingly recognized as a model for ecological genomics and biomedical research, there is, as of yet, no high-resolution genetic map for the genus. Such a map would provide an important tool for mapping phenotypes and assembling the genome. Here we estimate the genome size of Daphnia magna and describe the construction of an SNP array based linkage map. We then test the suitability of the map for life history and behavioural trait mapping. The two parent genotypes used to produce the map derived from D. magna populations with and without fish predation, respectively and are therefore expected to show divergent behaviour and life-histories.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Canada 1 1%
Switzerland 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 30%
Student > Master 17 23%
Researcher 14 19%
Student > Bachelor 4 5%
Other 2 3%
Other 3 4%
Unknown 12 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 55%
Biochemistry, Genetics and Molecular Biology 10 14%
Environmental Science 5 7%
Medicine and Dentistry 3 4%
Business, Management and Accounting 2 3%
Other 2 3%
Unknown 11 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 July 2015.
All research outputs
#12,090,337
of 21,321,365 outputs
Outputs from BMC Genomics
#4,368
of 10,286 outputs
Outputs of similar age
#155,730
of 346,332 outputs
Outputs of similar age from BMC Genomics
#264
of 753 outputs
Altmetric has tracked 21,321,365 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,286 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 346,332 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 753 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.