↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
72 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 72 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 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Student > Master 17 24%
Researcher 14 19%
Student > Bachelor 4 6%
Other 2 3%
Other 4 6%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 56%
Biochemistry, Genetics and Molecular Biology 9 13%
Environmental Science 5 7%
Medicine and Dentistry 3 4%
Business, Management and Accounting 2 3%
Other 3 4%
Unknown 10 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#2,083,363
of 8,863,160 outputs
Outputs from BMC Genomics
#1,572
of 6,172 outputs
Outputs of similar age
#59,180
of 243,142 outputs
Outputs of similar age from BMC Genomics
#76
of 327 outputs
Altmetric has tracked 8,863,160 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,172 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 74% 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 243,142 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 327 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.