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Application of adaptive cluster sampling to low-density populations of freshwater mussels

Overview of attention for article published in Environmental and Ecological Statistics, March 2003
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 220)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
98 Mendeley
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Title
Application of adaptive cluster sampling to low-density populations of freshwater mussels
Published in
Environmental and Ecological Statistics, March 2003
DOI 10.1023/a:1021956617984
Authors

David R. Smith, Rita F. Villella, David P. Lemarié

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
Czechia 1 1%
Switzerland 1 1%
Unknown 95 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 29%
Student > Ph. D. Student 14 14%
Student > Master 14 14%
Student > Bachelor 11 11%
Student > Doctoral Student 6 6%
Other 13 13%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 53%
Environmental Science 20 20%
Biochemistry, Genetics and Molecular Biology 5 5%
Arts and Humanities 1 1%
Mathematics 1 1%
Other 3 3%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2022.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Environmental and Ecological Statistics
#35
of 220 outputs
Outputs of similar age
#21,141
of 62,540 outputs
Outputs of similar age from Environmental and Ecological Statistics
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 220 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 72% 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 62,540 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them