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Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota

Overview of attention for article published in PLOS ONE, January 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

policy
1 policy source
twitter
5 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota
Published in
PLOS ONE, January 2020
DOI 10.1371/journal.pone.0227918
Pubmed ID
Authors

Brian Darby, Russ Bryant, Abby Keller, Madison Jochim, Josephine Moe, Zoe Schreiner, Carrie Pratt, Ned H. Euliss, Mia Park, Rebecca Simmons, Clint Otto

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Student > Master 3 7%
Lecturer 2 4%
Other 6 13%
Unknown 16 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Environmental Science 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Social Sciences 1 2%
Other 2 4%
Unknown 20 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 April 2022.
All research outputs
#4,759,523
of 23,509,982 outputs
Outputs from PLOS ONE
#68,620
of 201,403 outputs
Outputs of similar age
#110,722
of 455,803 outputs
Outputs of similar age from PLOS ONE
#791
of 2,525 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 65% 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 455,803 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 75% of its contemporaries.
We're also able to compare this research output to 2,525 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 68% of its contemporaries.