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Population Structure of the Gulf Pipefish in and around Mobile Bay and the Northern Gulf of Mexico

Overview of attention for article published in Journal of Heredity, November 2012
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Article details
Title
Population Structure of the Gulf Pipefish in and around Mobile Bay and the Northern Gulf of Mexico
Published in
Journal of Heredity, November 2012
DOI 10.1093/jhered/ess062
Pubmed ID
Authors
Abstract

The genetic structure of inshore aquatic populations can be influenced by a number of factors, including coastal configurations, flow rates, and local adaptation. Properties such as salinity and temperature can differ significantly along the coasts and into the bays and rivers that contribute to these systems. Within these environments, low migratory euryhaline species provide a unique system to examine how these factors influence population structure, even when these populations are continuously distributed. In this study, we utilized microsatellite data to assess the population structure of 7 Gulf pipefish populations located in and around Mobile Bay and the northern Gulf of Mexico. Global F (ST) values (F (ST) = 0.025) suggest moderate levels of genetic structure among the populations. Local genetic structure was present among all coastal pipefish populations. Significant levels of genetic structure were also observed between coastal and estuarine populations (P < 0.05), with bay populations being distinct from their coastal counterparts. Cluster analysis suggests 2 parental populations, with one consisting mainly of estuarine individuals and the other comprising mainly coastal individuals. However, although these populations were genetically distinct, the genetic data also suggested moderate levels of migration between coastal and estuarine areas. We suggest that the differentiation between these populations is likely due to the colonization of individuals from coastal populations followed by limited dispersal out of the bay. It is also possible that different selective pressures between coastal and estuarine habitats may be contributing to the genetic differences between these 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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 6 21%
Student > Bachelor 4 14%
Professor > Associate Professor 3 10%
Lecturer > Senior Lecturer 1 3%
Other 2 7%
Unknown 6 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 45%
Environmental Science 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Mathematics 1 3%
Computer Science 1 3%
Other 0 0%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 December 2012.
All research outputs
#23,329,605
of 34,410,315 outputs
Outputs from Journal of Heredity
#1,791
of 2,410 outputs
Outputs of similar age
#172,044
of 243,455 outputs
Outputs of similar age from Journal of Heredity
#11
of 20 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,410 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 23rd percentile – i.e., 23% 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 243,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.