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Food Web Designer: a flexible tool to visualize interaction networks

Overview of attention for article published in Journal of Pest Science, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users

Citations

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33 Dimensions

Readers on

mendeley
113 Mendeley
Title
Food Web Designer: a flexible tool to visualize interaction networks
Published in
Journal of Pest Science, August 2015
DOI 10.1007/s10340-015-0686-7
Pubmed ID
Authors

Daniela Sint, Michael Traugott

Abstract

Species are embedded in complex networks of ecological interactions and assessing these networks provides a powerful approach to understand what the consequences of these interactions are for ecosystem functioning and services. This is mandatory to develop and evaluate strategies for the management and control of pests. Graphical representations of networks can help recognize patterns that might be overlooked otherwise. However, there is a lack of software which allows visualizing these complex interaction networks. Food Web Designer is a stand-alone, highly flexible and user friendly software tool to quantitatively visualize trophic and other types of bipartite and tripartite interaction networks. It is offered free of charge for use on Microsoft Windows platforms. Food Web Designer is easy to use without the need to learn a specific syntax due to its graphical user interface. Up to three (trophic) levels can be connected using links cascading from or pointing towards the taxa within each level to illustrate top-down and bottom-up connections. Link width/strength and abundance of taxa can be quantified, allowing generating fully quantitative networks. Network datasets can be imported, saved for later adjustment and the interaction webs can be exported as pictures for graphical display in different file formats. We show how Food Web Designer can be used to draw predator-prey and host-parasitoid food webs, demonstrating that this software is a simple and straightforward tool to graphically display interaction networks for assessing pest control or any other type of interaction in both managed and natural ecosystems from an ecological network perspective.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
France 2 2%
Portugal 1 <1%
Italy 1 <1%
Unknown 107 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 23%
Student > Ph. D. Student 23 20%
Student > Master 13 12%
Student > Doctoral Student 8 7%
Professor 7 6%
Other 18 16%
Unknown 18 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 50%
Environmental Science 19 17%
Psychology 4 4%
Biochemistry, Genetics and Molecular Biology 2 2%
Unspecified 1 <1%
Other 7 6%
Unknown 24 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 04 March 2023.
All research outputs
#2,711,254
of 25,766,791 outputs
Outputs from Journal of Pest Science
#54
of 642 outputs
Outputs of similar age
#33,436
of 276,421 outputs
Outputs of similar age from Journal of Pest Science
#1
of 8 outputs
Altmetric has tracked 25,766,791 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 642 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 91% 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 276,421 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 87% of its contemporaries.
We're also able to compare this research output to 8 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