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Iterative near-term ecological forecasting: Needs, opportunities, and challenges

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2018
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
twitter
129 X users
patent
1 patent
facebook
3 Facebook pages

Citations

dimensions_citation
430 Dimensions

Readers on

mendeley
712 Mendeley
citeulike
1 CiteULike
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Title
Iterative near-term ecological forecasting: Needs, opportunities, and challenges
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2018
DOI 10.1073/pnas.1710231115
Pubmed ID
Authors

Michael C. Dietze, Andrew Fox, Lindsay M. Beck-Johnson, Julio L. Betancourt, Mevin B. Hooten, Catherine S. Jarnevich, Timothy H. Keitt, Melissa A. Kenney, Christine M. Laney, Laurel G. Larsen, Henry W. Loescher, Claire K. Lunch, Bryan C. Pijanowski, James T. Randerson, Emily K. Read, Andrew T. Tredennick, Rodrigo Vargas, Kathleen C. Weathers, Ethan P. White

X Demographics

X Demographics

The data shown below were collected from the profiles of 129 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 712 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 712 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 157 22%
Student > Ph. D. Student 145 20%
Student > Master 70 10%
Student > Bachelor 43 6%
Student > Doctoral Student 41 6%
Other 112 16%
Unknown 144 20%
Readers by discipline Count As %
Environmental Science 200 28%
Agricultural and Biological Sciences 173 24%
Earth and Planetary Sciences 38 5%
Engineering 22 3%
Social Sciences 16 2%
Other 65 9%
Unknown 198 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 137. 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 12 December 2023.
All research outputs
#310,184
of 25,791,495 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#5,612
of 103,757 outputs
Outputs of similar age
#7,095
of 451,964 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#117
of 1,005 outputs
Altmetric has tracked 25,791,495 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,757 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one has done particularly well, scoring higher than 94% 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 451,964 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 98% of its contemporaries.
We're also able to compare this research output to 1,005 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.