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Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)

Overview of attention for article published in Ecological Applications, July 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)
Published in
Ecological Applications, July 2010
DOI 10.1890/09-1724.1
Pubmed ID
Authors

Ralph Mac Nally, James R. Thomson, Wim J. Kimmerer, Frederick Feyrer, Ken B. Newman, Andy Sih, William A. Bennett, Larry Brown, Erica Fleishman, Steven D. Culberson, Gonzalo Castillo

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Canada 3 2%
Brazil 2 1%
Sweden 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Mexico 1 <1%
Unknown 127 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 39%
Student > Ph. D. Student 25 17%
Student > Master 18 13%
Other 11 8%
Student > Bachelor 8 6%
Other 11 8%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 41%
Environmental Science 48 33%
Earth and Planetary Sciences 7 5%
Engineering 4 3%
Business, Management and Accounting 2 1%
Other 9 6%
Unknown 15 10%

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 2012.
All research outputs
#5,608,116
of 17,361,274 outputs
Outputs from Ecological Applications
#1,381
of 2,858 outputs
Outputs of similar age
#94,133
of 272,819 outputs
Outputs of similar age from Ecological Applications
#27
of 40 outputs
Altmetric has tracked 17,361,274 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,858 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 272,819 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.