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Patterning emergent marsh vegetation assemblages in coastal Louisiana, USA , with unsupervised artificial neural networks

Overview of attention for article published in Applied Vegetation Science, March 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Patterning emergent marsh vegetation assemblages in coastal Louisiana, USA , with unsupervised artificial neural networks
Published in
Applied Vegetation Science, March 2019
DOI 10.1111/avsc.12425
Authors

Gregg A. Snedden

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Professor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Environmental Science 4 44%
Biochemistry, Genetics and Molecular Biology 1 11%
Business, Management and Accounting 1 11%
Unknown 3 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 February 2019.
All research outputs
#8,573,719
of 14,242,646 outputs
Outputs from Applied Vegetation Science
#210
of 356 outputs
Outputs of similar age
#175,664
of 321,580 outputs
Outputs of similar age from Applied Vegetation Science
#4
of 9 outputs
Altmetric has tracked 14,242,646 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 39th percentile – i.e., 39% 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 321,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.