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Rapid adaptation to climate change

Overview of attention for article published in Molecular Ecology, July 2016
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Title
Rapid adaptation to climate change
Published in
Molecular Ecology, July 2016
DOI 10.1111/mec.13731
Pubmed ID
Authors

Angela M Hancock

Abstract

In recent years, amid growing concerns that changing climate is affecting species distributions and ecosystems, predicting responses to rapid environmental change has become a major goal. In this issue, Franks and colleagues take a first step towards this objective (Franks et al. 2016). They examine genomewide signatures of selection in populations of Brassica rapa after a severe multiyear drought. Together with other authors, Franks had previously shown that flowering time was reduced after this particular drought and that the reduction was genetically encoded. Now, the authors have sequenced previously stored samples to compare allele frequencies before and after the drought and identify the loci with the most extreme shifts in frequencies. The loci they identify largely differ between populations, suggesting that different genetic variants may be responsible for reduction in flowering time in the two populations.

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The data shown below were collected from the profiles of 2 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Germany 1 <1%
Canada 1 <1%
Romania 1 <1%
Spain 1 <1%
Unknown 102 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Researcher 18 17%
Student > Master 14 13%
Student > Bachelor 13 12%
Professor > Associate Professor 12 11%
Other 11 10%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 41%
Environmental Science 21 19%
Biochemistry, Genetics and Molecular Biology 9 8%
Social Sciences 3 3%
Economics, Econometrics and Finance 2 2%
Other 4 4%
Unknown 25 23%
Attention Score in Context

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 28 July 2016.
All research outputs
#17,117,681
of 25,149,126 outputs
Outputs from Molecular Ecology
#5,691
of 6,682 outputs
Outputs of similar age
#247,729
of 375,222 outputs
Outputs of similar age from Molecular Ecology
#96
of 110 outputs
Altmetric has tracked 25,149,126 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 9th percentile – i.e., 9% 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 375,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.