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Seven Recommendations to Make Your Invasive Alien Species Data More Useful

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 183)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
42 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Seven Recommendations to Make Your Invasive Alien Species Data More Useful
Published in
Frontiers in Applied Mathematics and Statistics, June 2017
DOI 10.3389/fams.2017.00013
Authors

Quentin J. Groom, Tim Adriaens, Peter Desmet, Annie Simpson, Aaike De Wever, Ioannis Bazos, Ana Cristina Cardoso, Lucinda Charles, Anastasia Christopoulou, Anna Gazda, Harry Helmisaari, Donald Hobern, Melanie Josefsson, Frances Lucy, Dragana Marisavljevic, Tomasz Oszako, Jan Pergl, Olivera Petrovic-Obradovic, Céline Prévot, Hans P. Ravn, Gareth Richards, Alain Roques, Helen E. Roy, Marie-Anne A. Rozenberg, Riccardo Scalera, Elena Tricarico, Teodora Trichkova, Diemer Vercayie, Argyro Zenetos, Sonia Vanderhoeven

Twitter Demographics

The data shown below were collected from the profiles of 42 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Denmark 1 2%
Brazil 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Other 12 19%
Student > Ph. D. Student 10 16%
Student > Master 4 6%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 55%
Environmental Science 16 26%
Computer Science 1 2%
Chemistry 1 2%
Unknown 10 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 14 February 2019.
All research outputs
#631,405
of 14,322,164 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#4
of 183 outputs
Outputs of similar age
#17,486
of 225,671 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#2
of 6 outputs
Altmetric has tracked 14,322,164 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 97% 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 225,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.