| Title |
Using artificial intelligence for CyanoHAB niche modeling: discovery and visualization of Microcystis–environmental associations within western Lake Erie
|
|---|---|
| Published in |
Canadian Journal of Fisheries and Aquatic Sciences, July 2014
|
| DOI | 10.1139/cjfas-2013-0654 |
| Authors |
David F. Millie, Gary R. Weckman, Gary L. Fahnenstiel, Hunter J. Carrick, Ehsan Ardjmand, William A. Young, Michael J. Sayers, Robert A. Shuchman |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 33% |
| Canada | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 73 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 26% |
| Student > Master | 14 | 19% |
| Researcher | 9 | 12% |
| Student > Bachelor | 8 | 11% |
| Student > Doctoral Student | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 18 | 24% |
| Agricultural and Biological Sciences | 14 | 19% |
| Engineering | 10 | 14% |
| Earth and Planetary Sciences | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 04 October 2014.
All research outputs
#4,119,126
of 25,374,917 outputs
Outputs from Canadian Journal of Fisheries and Aquatic Sciences
#540
of 3,919 outputs
Outputs of similar age
#38,249
of 241,655 outputs
Outputs of similar age from Canadian Journal of Fisheries and Aquatic Sciences
#6
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,919 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 241,655 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 84% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.