| Title |
Empiricism and Modeling for Marine Fisheries: Advancing an Interdisciplinary Science
|
|---|---|
| Published in |
Ecosystems, November 2016
|
| DOI | 10.1007/s10021-016-0073-0 |
| Authors |
Timothy E. Essington, Lorenzo Ciannelli, Selina S. Heppell, Phillip S. Levin, Timothy R. McClanahan, Fiorenza Micheli, Éva E. Plagányi, Ingrid E. van Putten |
X Demographics
The data shown below were collected from the profiles of 17 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 States | 5 | 29% |
| Spain | 1 | 6% |
| Norway | 1 | 6% |
| United Kingdom | 1 | 6% |
| Canada | 1 | 6% |
| Netherlands | 1 | 6% |
| Australia | 1 | 6% |
| Greece | 1 | 6% |
| Germany | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 59% |
| Members of the public | 7 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 2% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 98 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 23% |
| Student > Ph. D. Student | 21 | 20% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 17 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 34 | 33% |
| Agricultural and Biological Sciences | 34 | 33% |
| Economics, Econometrics and Finance | 3 | 3% |
| Earth and Planetary Sciences | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 22 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 05 April 2018.
All research outputs
#3,766,231
of 25,432,721 outputs
Outputs from Ecosystems
#304
of 1,311 outputs
Outputs of similar age
#60,733
of 318,995 outputs
Outputs of similar age from Ecosystems
#23
of 42 outputs
Altmetric has tracked 25,432,721 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,311 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 76% 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 318,995 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 80% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.