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Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability

Overview of attention for article published in PLoS ONE, November 2016
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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

twitter
19 tweeters
facebook
1 Facebook page

Citations

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3 Dimensions

Readers on

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38 Mendeley
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Title
Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability
Published in
PLoS ONE, November 2016
DOI 10.1371/journal.pone.0164979
Pubmed ID
Authors

E. Robert Thieler, Sara L. Zeigler, Luke A. Winslow, Megan K. Hines, Jordan S. Read, Jordan I. Walker

Abstract

Understanding and managing dynamic coastal landscapes for beach-dependent species requires biological and geological data across the range of relevant environments and habitats. It is difficult to acquire such information; data often have limited focus due to resource constraints, are collected by non-specialists, or lack observational uniformity. We developed an open-source smartphone application called iPlover that addresses these difficulties in collecting biogeomorphic information at piping plover (Charadrius melodus) nest sites on coastal beaches. This paper describes iPlover development and evaluates data quality and utility following two years of collection (n = 1799 data points over 1500 km of coast between Maine and North Carolina, USA). We found strong agreement between field user and expert assessments and high model skill when data were used for habitat suitability prediction. Methods used here to develop and deploy a distributed data collection system have broad applicability to interdisciplinary environmental monitoring and modeling.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Germany 1 3%
Spain 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Unspecified 6 16%
Researcher 5 13%
Other 5 13%
Student > Master 4 11%
Other 10 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Unspecified 6 16%
Environmental Science 5 13%
Earth and Planetary Sciences 5 13%
Medicine and Dentistry 4 11%
Other 6 16%

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 30 November 2016.
All research outputs
#1,056,068
of 13,042,915 outputs
Outputs from PLoS ONE
#17,679
of 140,560 outputs
Outputs of similar age
#36,973
of 285,676 outputs
Outputs of similar age from PLoS ONE
#479
of 3,872 outputs
Altmetric has tracked 13,042,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 140,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 87% 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 285,676 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 3,872 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.