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Establishing Research Strategies, Methodologies and Technologies to Link Genomics and Proteomics to Seagrass Productivity, Community Metabolism, and Ecosystem Carbon Fluxes

Overview of attention for article published in Frontiers in Plant Science, January 2013
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1 X user

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Title
Establishing Research Strategies, Methodologies and Technologies to Link Genomics and Proteomics to Seagrass Productivity, Community Metabolism, and Ecosystem Carbon Fluxes
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00038
Pubmed ID
Authors

Silvia Mazzuca, M. Björk, S. Beer, P. Felisberto, S. Gobert, G. Procaccini, J. Runcie, J. Silva, A. V. Borges, C. Brunet, P. Buapet, W. Champenois, M. M. Costa, D. D’Esposito, M. Gullström, P. Lejeune, G. Lepoint, I. Olivé, L. M. Rasmusson, J. Richir, M. Ruocco, I. A. Serra, A. Spadafora, Rui Santos

Abstract

A complete understanding of the mechanistic basis of marine ecosystem functioning is only possible through integrative and interdisciplinary research. This enables the prediction of change and possibly the mitigation of the consequences of anthropogenic impacts. One major aim of the European Cooperation in Science and Technology (COST) Action ES0609 "Seagrasses productivity. From genes to ecosystem management," is the calibration and synthesis of various methods and the development of innovative techniques and protocols for studying seagrass ecosystems. During 10 days, 20 researchers representing a range of disciplines (molecular biology, physiology, botany, ecology, oceanography, and underwater acoustics) gathered at The Station de Recherches Sous-marines et Océanographiques (STARESO, Corsica) to study together the nearby Posidonia oceanica meadow. STARESO is located in an oligotrophic area classified as "pristine site" where environmental disturbances caused by anthropogenic pressure are exceptionally low. The healthy P. oceanica meadow, which grows in front of the research station, colonizes the sea bottom from the surface to 37 m depth. During the study, genomic and proteomic approaches were integrated with ecophysiological and physical approaches with the aim of understanding changes in seagrass productivity and metabolism at different depths and along daily cycles. In this paper we report details on the approaches utilized and we forecast the potential of the data that will come from this synergistic approach not only for P. oceanica but for seagrasses in general.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 <1%
Singapore 1 <1%
Belgium 1 <1%
Unknown 121 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 20%
Researcher 21 17%
Student > Master 16 13%
Student > Doctoral Student 11 9%
Professor > Associate Professor 9 7%
Other 20 16%
Unknown 24 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 37%
Environmental Science 26 21%
Biochemistry, Genetics and Molecular Biology 6 5%
Engineering 4 3%
Computer Science 3 2%
Other 7 6%
Unknown 33 26%
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 19 March 2013.
All research outputs
#20,185,720
of 22,701,287 outputs
Outputs from Frontiers in Plant Science
#15,819
of 19,922 outputs
Outputs of similar age
#248,721
of 280,698 outputs
Outputs of similar age from Frontiers in Plant Science
#241
of 517 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,922 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 280,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.