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Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, June 2021
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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 (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
7 news outlets
twitter
20 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning
Published in
Proceedings of the National Academy of Sciences of the United States of America, June 2021
DOI 10.1073/pnas.2022757118
Pubmed ID
Authors

Amelia A. Wolf, Jennifer L. Funk, Paul C. Selmants, Connor N. Morozumi, Daniel L. Hernández, Jae R. Pasari, Erika S. Zavaleta

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 17%
Researcher 10 13%
Student > Master 8 10%
Student > Doctoral Student 4 5%
Other 4 5%
Other 11 14%
Unknown 27 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 23%
Environmental Science 18 23%
Biochemistry, Genetics and Molecular Biology 2 3%
Unspecified 1 1%
Arts and Humanities 1 1%
Other 4 5%
Unknown 33 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 April 2023.
All research outputs
#637,339
of 25,651,057 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#10,835
of 103,520 outputs
Outputs of similar age
#17,003
of 456,510 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#269
of 965 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,520 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 well, scoring higher than 89% 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 456,510 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 96% of its contemporaries.
We're also able to compare this research output to 965 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 72% of its contemporaries.