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Flowers as Islands: Spatial Distribution of Nectar-Inhabiting Microfungi among Plants of Mimulus aurantiacus, a Hummingbird-Pollinated Shrub

Overview of attention for article published in Microbial Ecology, November 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
210 Mendeley
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Title
Flowers as Islands: Spatial Distribution of Nectar-Inhabiting Microfungi among Plants of Mimulus aurantiacus, a Hummingbird-Pollinated Shrub
Published in
Microbial Ecology, November 2011
DOI 10.1007/s00248-011-9975-8
Pubmed ID
Authors

Melinda Belisle, Kabir G. Peay, Tadashi Fukami

Abstract

Microfungi that inhabit floral nectar offer unique opportunities for the study of microbial distribution and the role that dispersal limitation may play in generating distribution patterns. Flowers are well-replicated habitat islands, among which the microbes disperse via pollinators. This metapopulation system allows for investigation of microbial distribution at multiple spatial scales. We examined the distribution of the yeast, Metschnikowia reukaufii, and other fungal species found in the floral nectar of the sticky monkey flower, Mimulus aurantiacus, a hummingbird-pollinated shrub, at a California site. We found that the frequency of nectar-inhabiting microfungi on a given host plant was not significantly correlated with light availability, nectar volume, or the percent cover of M. aurantiacus around the plant, but was significantly correlated with the location of the host plant and loosely correlated with the density of flowers on the plant. These results suggest that dispersal limitation caused by spatially nonrandom foraging by pollinators may be a primary factor driving the observed distribution pattern.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Switzerland 2 <1%
France 2 <1%
Canada 2 <1%
Brazil 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Serbia 1 <1%
Other 0 0%
Unknown 197 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 27%
Student > Bachelor 35 17%
Student > Master 30 14%
Researcher 26 12%
Student > Doctoral Student 15 7%
Other 27 13%
Unknown 20 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 131 62%
Environmental Science 22 10%
Biochemistry, Genetics and Molecular Biology 15 7%
Immunology and Microbiology 3 1%
Chemistry 3 1%
Other 13 6%
Unknown 23 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 02 October 2021.
All research outputs
#2,038,300
of 24,804,602 outputs
Outputs from Microbial Ecology
#87
of 2,163 outputs
Outputs of similar age
#10,027
of 146,514 outputs
Outputs of similar age from Microbial Ecology
#3
of 7 outputs
Altmetric has tracked 24,804,602 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% 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 146,514 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.