↓ Skip to main content

Developing accurate prediction systems for the terrestrial environment

Overview of attention for article published in BMC Biology, April 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
18 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
Developing accurate prediction systems for the terrestrial environment
Published in
BMC Biology, April 2018
DOI 10.1186/s12915-018-0515-6
Pubmed ID
Authors

David B. Lindenmayer

Abstract

In recent decades, meteorologists have made remarkable progress in predicting the weather, thereby saving lives and considerable sums of money. However, we are way behind when it comes to predicting the effects of environmental change on ecosystems, even when we are ourselves the agent of such change. Given the substantial environmental problems facing our living planet, and the need to tackle these in an ecologically responsible and cost-effective way, we should aspire to develop terrestrial environmental prediction systems that reach the levels of accuracy and precision which characterize weather prediction systems. I argue here that well designed, long-term monitoring programs will be key to developing robust environmental prediction systems.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Other 3 17%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Environmental Science 4 22%
Agricultural and Biological Sciences 3 17%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Engineering 1 6%
Other 0 0%
Unknown 8 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 June 2018.
All research outputs
#3,285,194
of 13,046,126 outputs
Outputs from BMC Biology
#705
of 1,162 outputs
Outputs of similar age
#86,855
of 268,484 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 13,046,126 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 268,484 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 67% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them