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Mendeley readers
Attention Score in Context
| Title |
Using Landscape Limnology to Classify Freshwater Ecosystems for Multi-ecosystem Management and Conservation
|
|---|---|
| Published in |
BioScience, June 2010
|
| DOI | 10.1525/bio.2010.60.6.8 |
| Authors |
Patricia A. Soranno, Kendra Spence Cheruvelil, Katherine E. Webster, Mary T. Bremigan, Tyler Wagner, Craig A. Stow |
Mendeley readers
The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Brazil | 3 | 1% |
| Canada | 2 | <1% |
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Australia | 1 | <1% |
| Slovenia | 1 | <1% |
| Peru | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 213 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 25% |
| Student > Ph. D. Student | 56 | 24% |
| Student > Master | 31 | 13% |
| Professor | 14 | 6% |
| Other | 12 | 5% |
| Other | 42 | 18% |
| Unknown | 19 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 92 | 39% |
| Agricultural and Biological Sciences | 68 | 29% |
| Earth and Planetary Sciences | 24 | 10% |
| Social Sciences | 4 | 2% |
| Computer Science | 2 | <1% |
| Other | 8 | 3% |
| Unknown | 35 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 July 2017.
All research outputs
#5,568,328
of 25,795,662 outputs
Outputs from BioScience
#1,188
of 2,616 outputs
Outputs of similar age
#22,795
of 106,094 outputs
Outputs of similar age from BioScience
#6
of 11 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,616 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.8. This one has gotten more attention than average, scoring higher than 51% 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 106,094 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 71% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.