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Improved estimation of intrinsic growth rmax for long‐lived species: integrating matrix models and allometry

Overview of attention for article published in Ecological Applications, February 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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

policy
2 policy sources
twitter
5 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
67 Mendeley
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Article details
Title
Improved estimation of intrinsic growth rmax for long‐lived species: integrating matrix models and allometry
Published in
Ecological Applications, February 2016
DOI 10.1890/14-1990
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Student > Master 11 16%
Researcher 8 12%
Professor > Associate Professor 4 6%
Student > Bachelor 3 4%
Other 9 13%
Unknown 18 27%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 25 37%
Environmental Science 15 22%
Medicine and Dentistry 3 4%
Business, Management and Accounting 2 3%
Philosophy 1 1%
Other 2 3%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 January 2024.
All research outputs
#3,788,148
of 34,452,566 outputs
Outputs from Ecological Applications
#903
of 4,003 outputs
Outputs of similar age
#52,214
of 454,109 outputs
Outputs of similar age from Ecological Applications
#3
of 21 outputs
Altmetric has tracked 34,452,566 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done well, scoring higher than 76% 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 454,109 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 88% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.