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PNAS

Scaling laws predict global microbial diversity

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, May 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
818 Dimensions

Readers on

mendeley
1670 Mendeley
citeulike
5 CiteULike
Title
Scaling laws predict global microbial diversity
Published in
Proceedings of the National Academy of Sciences of the United States of America, May 2016
DOI 10.1073/pnas.1521291113
Pubmed ID
Authors

Kenneth J Locey, Jay T Lennon

X Demographics

X Demographics

The data shown below were collected from the profiles of 401 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 1,670 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 1%
France 10 <1%
Spain 5 <1%
United Kingdom 5 <1%
Switzerland 4 <1%
Brazil 4 <1%
Denmark 3 <1%
Mexico 2 <1%
Japan 2 <1%
Other 20 1%
Unknown 1593 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 358 21%
Researcher 284 17%
Student > Master 219 13%
Student > Bachelor 195 12%
Student > Doctoral Student 100 6%
Other 240 14%
Unknown 274 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 587 35%
Biochemistry, Genetics and Molecular Biology 254 15%
Environmental Science 193 12%
Immunology and Microbiology 70 4%
Earth and Planetary Sciences 39 2%
Other 167 10%
Unknown 360 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1586. 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 09 April 2024.
All research outputs
#7,184
of 25,738,558 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#236
of 103,644 outputs
Outputs of similar age
#73
of 313,047 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#8
of 840 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 99% 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 313,047 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 99% of its contemporaries.
We're also able to compare this research output to 840 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.