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Beyond ectomycorrhizal bipartite networks: projected networks demonstrate contrasted patterns between early- and late-successional plants in Corsica

Overview of attention for article published in Frontiers in Plant Science, October 2015
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Title
Beyond ectomycorrhizal bipartite networks: projected networks demonstrate contrasted patterns between early- and late-successional plants in Corsica
Published in
Frontiers in Plant Science, October 2015
DOI 10.3389/fpls.2015.00881
Pubmed ID
Authors

Adrien Taudiere, François Munoz, Annick Lesne, Anne-Christine Monnet, Jean-Michel Bellanger, Marc-André Selosse, Pierre-Arthur Moreau, Franck Richard

Abstract

The ectomycorrhizal (ECM) symbiosis connects mutualistic plants and fungal species into bipartite networks. While links between one focal ECM plant and its fungal symbionts have been widely documented, systemic views of ECM networks are lacking, in particular, concerning the ability of fungal species to mediate indirect ecological interactions between ECM plant species (projected-ECM networks). We assembled a large dataset of plant-fungi associations at the species level and at the scale of Corsica using molecular data and unambiguously host-assigned records to: (i) examine the correlation between the number of fungal symbionts of a plant species and the average specialization of these fungal species, (ii) explore the structure of the plant-plant projected network and (iii) compare plant association patterns in regard to their position along the ecological succession. Our analysis reveals no trade-off between specialization of plants and specialization of their partners and a saturation of the plant projected network. Moreover, there is a significantly lower-than-expected sharing of partners between early- and late-successional plant species, with fewer fungal partners for early-successional ones and similar average specialization of symbionts of early- and late-successional plants. Our work paves the way for ecological readings of Mediterranean landscapes that include the astonishing diversity of below-ground interactions.

X Demographics

X Demographics

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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Philippines 1 2%
Denmark 1 2%
France 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 29%
Student > Ph. D. Student 14 24%
Researcher 12 21%
Student > Doctoral Student 4 7%
Student > Postgraduate 2 3%
Other 4 7%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 48%
Environmental Science 16 28%
Biochemistry, Genetics and Molecular Biology 2 3%
Computer Science 1 2%
Earth and Planetary Sciences 1 2%
Other 0 0%
Unknown 10 17%
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 06 November 2015.
All research outputs
#14,827,133
of 22,830,751 outputs
Outputs from Frontiers in Plant Science
#9,249
of 20,146 outputs
Outputs of similar age
#156,495
of 283,131 outputs
Outputs of similar age from Frontiers in Plant Science
#136
of 376 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,146 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 283,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 376 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 55% of its contemporaries.