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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A database of marine phytoplankton abundance, biomass and species composition in Australian waters
|
|---|---|
| Published in |
Scientific Data, June 2016
|
| DOI | 10.1038/sdata.2016.43 |
| Pubmed ID | |
| Authors |
Claire H. Davies, Alex Coughlan, Gustaaf Hallegraeff, Penelope Ajani, Linda Armbrecht, Natalia Atkins, Prudence Bonham, Steve Brett, Richard Brinkman, Michele Burford, Lesley Clementson, Peter Coad, Frank Coman, Diana Davies, Jocelyn Dela-Cruz, Michelle Devlin, Steven Edgar, Ruth Eriksen, Miles Furnas, Christel Hassler, David Hill, Michael Holmes, Tim Ingleton, Ian Jameson, Sophie C. Leterme, Christian Lønborg, James McLaughlin, Felicity McEnnulty, A. David McKinnon, Margaret Miller, Shauna Murray, Sasi Nayar, Renee Patten, Sarah A. Pausina, Tim Pritchard, Roger Proctor, Diane Purcell-Meyerink, Eric Raes, David Rissik, Jason Ruszczyk, Anita Slotwinski, Kerrie M. Swadling, Katherine Tattersall, Peter Thompson, Paul Thomson, Mark Tonks, Thomas W. Trull, Julian Uribe-Palomino, Anya M. Waite, Rouna Yauwenas, Anthony Zammit, Anthony J. Richardson |
| Abstract |
There have been many individual phytoplankton datasets collected across Australia since the mid 1900s, but most are unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate 3,621,847 records of marine phytoplankton species from Australian waters from 1844 to the present. Many of these are small datasets collected for local questions, but combined they provide over 170 years of data on phytoplankton communities in Australian waters. Units and taxonomy have been standardised, obviously erroneous data removed, and all metadata included. We have lodged this dataset with the Australian Ocean Data Network (http://portal.aodn.org.au/) allowing public access. The Australian Phytoplankton Database will be invaluable for global change studies, as it allows analysis of ecological indicators of climate change and eutrophication (e.g., changes in distribution; diatom:dinoflagellate ratios). In addition, the standardised conversion of abundance records to biomass provides modellers with quantifiable data to initialise and validate ecosystem models of lower marine trophic levels. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 16% |
| United States | 3 | 16% |
| Australia | 3 | 16% |
| Peru | 1 | 5% |
| Brazil | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 89% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 139 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 28% |
| Researcher | 27 | 19% |
| Student > Master | 16 | 11% |
| Student > Bachelor | 15 | 11% |
| Student > Postgraduate | 7 | 5% |
| Other | 17 | 12% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 43 | 30% |
| Agricultural and Biological Sciences | 40 | 28% |
| Earth and Planetary Sciences | 10 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Social Sciences | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 29 | 20% |
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 18 December 2016.
All research outputs
#843,615
of 23,314,015 outputs
Outputs from Scientific Data
#348
of 2,562 outputs
Outputs of similar age
#17,579
of 354,719 outputs
Outputs of similar age from Scientific Data
#7
of 33 outputs
Altmetric has tracked 23,314,015 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 2,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.4. This one has done well, scoring higher than 86% 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 354,719 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 95% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.