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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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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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4 X users

Citations

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48 Dimensions

Readers on

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83 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 83 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 79 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Student > Master 17 20%
Researcher 14 17%
Student > Bachelor 4 5%
Student > Doctoral Student 2 2%
Other 4 5%
Unknown 19 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 51%
Biochemistry, Genetics and Molecular Biology 10 12%
Environmental Science 5 6%
Medicine and Dentistry 3 4%
Business, Management and Accounting 2 2%
Other 4 5%
Unknown 17 20%
Attention Score in Context

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 29 November 2014.
All research outputs
#15,528,733
of 26,017,215 outputs
Outputs from BMC Genomics
#5,435
of 11,367 outputs
Outputs of similar age
#194,434
of 374,968 outputs
Outputs of similar age from BMC Genomics
#140
of 327 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 50% 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 374,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 56% of its contemporaries.