↓ Skip to main content

Metabarcoding avian diets at airports: implications for birdstrike hazard management planning

Overview of attention for article published in Investigative Genetics, December 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
126 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Metabarcoding avian diets at airports: implications for birdstrike hazard management planning
Published in
Investigative Genetics, December 2013
DOI 10.1186/2041-2223-4-27
Pubmed ID
Authors

Megan L Coghlan, Nicole E White, Dáithí C Murray, Jayne Houston, William Rutherford, Matthew I Bellgard, James Haile, Michael Bunce

Abstract

Wildlife collisions with aircraft cost the airline industry billions of dollars per annum and represent a public safety risk. Clearly, adapting aerodrome habitats to become less attractive to hazardous wildlife will reduce the incidence of collisions. Formulating effective habitat management strategies relies on accurate species identification of high-risk species. This can be successfully achieved for all strikes either through morphology and/or DNA-based identifications. Beyond species identification, dietary analysis of birdstrike gut contents can provide valuable intelligence for airport hazard management practices in regards to what food is attracting which species to aerodromes. Here, we present birdstrike identification and dietary data from Perth Airport, Western Australia, an aerodrome that saw approximately 140,000 aircraft movements in 2012. Next-generation high throughput DNA sequencing was employed to investigate 77 carcasses from 16 bird species collected over a 12-month period. Five DNA markers, which broadly characterize vertebrates, invertebrates and plants, were used to target three animal mitochondrial genes (12S rRNA, 16S rRNA, and COI) and a plastid gene (trnL) from DNA extracted from birdstrike carcass gastrointestinal tracts.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Argentina 1 <1%
Belgium 1 <1%
Australia 1 <1%
Unknown 121 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 24%
Student > Ph. D. Student 22 17%
Student > Master 20 16%
Other 9 7%
Student > Bachelor 6 5%
Other 17 13%
Unknown 22 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 56%
Environmental Science 18 14%
Biochemistry, Genetics and Molecular Biology 9 7%
Nursing and Health Professions 1 <1%
Veterinary Science and Veterinary Medicine 1 <1%
Other 5 4%
Unknown 22 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 10 April 2014.
All research outputs
#833,972
of 22,736,112 outputs
Outputs from Investigative Genetics
#14
of 97 outputs
Outputs of similar age
#9,812
of 307,039 outputs
Outputs of similar age from Investigative Genetics
#2
of 11 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has done well, scoring higher than 85% 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 307,039 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 96% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.