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Trait-based approaches for understanding microbial biodiversity and ecosystem functioning

Overview of attention for article published in Frontiers in Microbiology, May 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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12 X users

Citations

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324 Dimensions

Readers on

mendeley
821 Mendeley
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Title
Trait-based approaches for understanding microbial biodiversity and ecosystem functioning
Published in
Frontiers in Microbiology, May 2014
DOI 10.3389/fmicb.2014.00251
Pubmed ID
Authors

Sascha Krause, Xavier Le Roux, Pascal A. Niklaus, Peter M. Van Bodegom, Jay T. Lennon, Stefan Bertilsson, Hans-Peter Grossart, Laurent Philippot, Paul L. E. Bodelier

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 821 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 2%
United Kingdom 5 <1%
Austria 3 <1%
Brazil 3 <1%
France 2 <1%
Canada 2 <1%
Poland 2 <1%
Spain 2 <1%
Sweden 1 <1%
Other 10 1%
Unknown 773 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 231 28%
Researcher 165 20%
Student > Master 114 14%
Student > Doctoral Student 54 7%
Student > Bachelor 45 5%
Other 104 13%
Unknown 108 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 356 43%
Environmental Science 186 23%
Biochemistry, Genetics and Molecular Biology 40 5%
Earth and Planetary Sciences 26 3%
Immunology and Microbiology 15 2%
Other 45 5%
Unknown 153 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 July 2015.
All research outputs
#6,540,449
of 26,017,215 outputs
Outputs from Frontiers in Microbiology
#5,938
of 29,749 outputs
Outputs of similar age
#57,286
of 245,390 outputs
Outputs of similar age from Frontiers in Microbiology
#37
of 164 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 29,749 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 79% 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 245,390 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 76% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.