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IMOS National Reference Stations: A Continental-Wide Physical, Chemical and Biological Coastal Observing System

Overview of attention for article published in PLOS ONE, December 2014
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
policy
2 policy sources
twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
77 Mendeley
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Title
IMOS National Reference Stations: A Continental-Wide Physical, Chemical and Biological Coastal Observing System
Published in
PLOS ONE, December 2014
DOI 10.1371/journal.pone.0113652
Pubmed ID
Authors

Tim P. Lynch, Elisabetta B. Morello, Karen Evans, Anthony J. Richardson, Wayne Rochester, Craig R. Steinberg, Moninya Roughan, Peter Thompson, John F. Middleton, Ming Feng, Robert Sherrington, Vittorio Brando, Bronte Tilbrook, Ken Ridgway, Simon Allen, Peter Doherty, Katherine Hill, Tim C. Moltmann

Abstract

Sustained observations allow for the tracking of change in oceanography and ecosystems, however, these are rare, particularly for the Southern Hemisphere. To address this in part, the Australian Integrated Marine Observing System (IMOS) implemented a network of nine National Reference Stations (NRS). The network builds on one long-term location, where monthly water sampling has been sustained since the 1940s and two others that commenced in the 1950s. In-situ continuously moored sensors and an enhanced monthly water sampling regime now collect more than 50 data streams. Building on sampling for temperature, salinity and nutrients, the network now observes dissolved oxygen, carbon, turbidity, currents, chlorophyll a and both phytoplankton and zooplankton. Additional parameters for studies of ocean acidification and bio-optics are collected at a sub-set of sites and all data is made freely and publically available. Our preliminary results demonstrate increased utility to observe extreme events, such as marine heat waves and coastal flooding; rare events, such as plankton blooms; and have, for the first time, allowed for consistent continental scale sampling and analysis of coastal zooplankton and phytoplankton communities. Independent water sampling allows for cross validation of the deployed sensors for quality control of data that now continuously tracks daily, seasonal and annual variation. The NRS will provide multi-decadal time series, against which more spatially replicated short-term studies can be referenced, models and remote sensing products validated, and improvements made to our understanding of how large-scale, long-term change and variability in the global ocean are affecting Australia's coastal seas and ecosystems. The NRS network provides an example of how a continental scaled observing systems can be developed to collect observations that integrate across physics, chemistry and biology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 30%
Student > Ph. D. Student 9 12%
Student > Master 7 9%
Student > Bachelor 6 8%
Other 4 5%
Other 11 14%
Unknown 17 22%
Readers by discipline Count As %
Environmental Science 20 26%
Earth and Planetary Sciences 14 18%
Agricultural and Biological Sciences 13 17%
Engineering 4 5%
Unspecified 1 1%
Other 4 5%
Unknown 21 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 2022.
All research outputs
#816,237
of 22,788,370 outputs
Outputs from PLOS ONE
#11,278
of 194,531 outputs
Outputs of similar age
#10,695
of 331,307 outputs
Outputs of similar age from PLOS ONE
#201
of 3,608 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. 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 331,307 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 96% of its contemporaries.
We're also able to compare this research output to 3,608 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.