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Network of Interactions Between Ciliates and Phytoplankton During Spring

Overview of attention for article published in Frontiers in Microbiology, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Network of Interactions Between Ciliates and Phytoplankton During Spring
Published in
Frontiers in Microbiology, November 2015
DOI 10.3389/fmicb.2015.01289
Pubmed ID
Authors

Thomas Posch, Bettina Eugster, Francesco Pomati, Jakob Pernthaler, Gianna Pitsch, Ester M. Eckert

Abstract

The annually recurrent spring phytoplankton blooms in freshwater lakes initiate pronounced successions of planktonic ciliate species. Although there is considerable knowledge on the taxonomic diversity of these ciliates, their species-specific interactions with other microorganisms are still not well understood. Here we present the succession patterns of 20 morphotypes of ciliates during spring in Lake Zurich, Switzerland, and we relate their abundances to phytoplankton genera, flagellates, heterotrophic bacteria, and abiotic parameters. Interspecific relationships were analyzed by contemporaneous correlations and time-lagged co-occurrence and visualized as association networks. The contemporaneous network pointed to the pivotal role of distinct ciliate species (e.g., Balanion planctonicum, Rimostrombidium humile) as primary consumers of cryptomonads, revealed a clear overclustering of mixotrophic/omnivorous species, and highlighted the role of Halteria/Pelagohalteria as important bacterivores. By contrast, time-lagged statistical approaches (like local similarity analyses, LSA) proved to be inadequate for the evaluation of high-frequency sampling data. LSA led to a conspicuous inflation of significant associations, making it difficult to establish ecologically plausible interactions between ciliates and other microorganisms. Nevertheless, if adequate statistical procedures are selected, association networks can be powerful tools to formulate testable hypotheses about the autecology of only recently described ciliate species.

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X Demographics

The data shown below were collected from the profiles of 15 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 24%
Student > Ph. D. Student 13 17%
Student > Master 12 16%
Student > Bachelor 5 7%
Student > Postgraduate 4 5%
Other 11 14%
Unknown 13 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 38%
Environmental Science 20 26%
Biochemistry, Genetics and Molecular Biology 4 5%
Immunology and Microbiology 2 3%
Computer Science 1 1%
Other 3 4%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 January 2016.
All research outputs
#3,926,538
of 22,662,201 outputs
Outputs from Frontiers in Microbiology
#3,796
of 24,434 outputs
Outputs of similar age
#65,572
of 385,864 outputs
Outputs of similar age from Frontiers in Microbiology
#60
of 405 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 84% of its peers.
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 385,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.