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Differences in fine-scale spatial genetic structure across the distribution range of the distylous forest herb Pulmonaria officinalis (Boraginaceae)

Overview of attention for article published in BMC Genomic Data, October 2013
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Title
Differences in fine-scale spatial genetic structure across the distribution range of the distylous forest herb Pulmonaria officinalis (Boraginaceae)
Published in
BMC Genomic Data, October 2013
DOI 10.1186/1471-2156-14-101
Pubmed ID
Authors

Sofie Meeus, Olivier Honnay, Hans Jacquemyn

Abstract

Geographical ranges of plants and their pollinators do not always entirely overlap and it has been suggested that the absence of specialized pollinators at range margins may induce changes in mating systems. Because a species' mating system is known to have a considerable effect on within-population pollen movement, the extent of fine-scale spatial genetic structure (SGS) can be expected to differ between populations located at different parts of their geographical range. To test this prediction, we compared the fine-scale SGS between two core and two disjunct populations of the distylous forest herb Pulmonaria officinalis. Because in disjunct populations of this species the heteromorphic self-incompatibility system showed relaxation in the long-styled morph, but not in the short-styled morph, we also hypothesized that the extent of fine-scale SGS and clustering differed between morphs.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Germany 1 3%
Belgium 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Researcher 9 24%
Student > Doctoral Student 5 13%
Other 3 8%
Student > Bachelor 2 5%
Other 5 13%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 58%
Environmental Science 5 13%
Biochemistry, Genetics and Molecular Biology 3 8%
Psychology 2 5%
Computer Science 1 3%
Other 0 0%
Unknown 5 13%
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 18 October 2013.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#198,953
of 224,559 outputs
Outputs of similar age from BMC Genomic Data
#16
of 18 outputs
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So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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