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An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data

Overview of attention for article published in PLOS ONE, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
31 Mendeley
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Title
An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data
Published in
PLOS ONE, October 2020
DOI 10.1371/journal.pone.0226397
Pubmed ID
Authors

Nathaniel B. Price, Christopher J. Chizinski, Joseph J. Fontaine, Kevin L. Pope, Micaela Rahe, Jeff Rawlinson

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 6%
Student > Ph. D. Student 2 6%
Student > Bachelor 2 6%
Lecturer 1 3%
Other 1 3%
Other 5 16%
Unknown 18 58%
Readers by discipline Count As %
Social Sciences 5 16%
Agricultural and Biological Sciences 3 10%
Economics, Econometrics and Finance 2 6%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 18 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 October 2020.
All research outputs
#4,706,817
of 23,245,494 outputs
Outputs from PLOS ONE
#66,507
of 198,655 outputs
Outputs of similar age
#115,130
of 411,959 outputs
Outputs of similar age from PLOS ONE
#959
of 2,908 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 66% 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 411,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 2,908 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.