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Erratum: Corrigendum: The Coral Trait Database, a curated database of trait information for coral species from the global oceans

Overview of attention for article published in Scientific Data, December 2017
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1 X user

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Title
Erratum: Corrigendum: The Coral Trait Database, a curated database of trait information for coral species from the global oceans
Published in
Scientific Data, December 2017
DOI 10.1038/sdata.2017.174
Pubmed ID
Authors

Joshua S. Madin, Kristen D. Anderson, Magnus Heide Andreasen, Tom C.L. Bridge, Stephen D. Cairns, Sean R. Connolly, Emily S. Darling, Marcela Diaz, Daniel S. Falster, Erik C. Franklin, Ruth D. Gates, Aaron M.T. Harmer, Mia O. Hoogenboom, Danwei Huang, Sally A. Keith, Matthew A. Kosnik, Chao-Yang Kuo, Janice M. Lough, Catherine E. Lovelock, Osmar Luiz, Julieta Martinelli, Toni Mizerek, John M. Pandolfi, Xavier Pochon, Morgan S. Pratchett, Hollie M. Putnam, T. Edward Roberts, Michael Stat, Carden C. Wallace, Elizabeth Widman, Andrew H. Baird

Abstract

This corrects the article DOI: 10.1038/sdata.2016.17.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 28%
Student > Ph. D. Student 10 11%
Student > Bachelor 10 11%
Researcher 9 10%
Student > Doctoral Student 3 3%
Other 12 14%
Unknown 19 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 34%
Environmental Science 18 21%
Earth and Planetary Sciences 7 8%
Biochemistry, Genetics and Molecular Biology 4 5%
Engineering 3 3%
Other 5 6%
Unknown 20 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2017.
All research outputs
#18,577,751
of 23,009,818 outputs
Outputs from Scientific Data
#2,267
of 2,495 outputs
Outputs of similar age
#327,145
of 439,575 outputs
Outputs of similar age from Scientific Data
#42
of 47 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one is in the 4th percentile – i.e., 4% 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 439,575 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.