You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical modelling of annual variation for inference on stochastic population dynamics using Integral Projection Models
|
|---|---|
| Published in |
Methods in Ecology and Evolution, August 2015
|
| DOI | 10.1111/2041-210x.12405 |
| Authors |
C. Jessica E. Metcalf, Stephen P. Ellner, Dylan Z. Childs, Roberto Salguero‐Gómez, Cory Merow, Sean M. McMahon, Eelke Jongejans, Mark Rees |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| United Kingdom | 1 | 20% |
| Netherlands | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 110 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 27% |
| Student > Ph. D. Student | 28 | 25% |
| Student > Bachelor | 10 | 9% |
| Professor | 7 | 6% |
| Student > Master | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 54% |
| Environmental Science | 23 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Mathematics | 3 | 3% |
| Earth and Planetary Sciences | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 18 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 August 2018.
All research outputs
#3,394,442
of 25,374,647 outputs
Outputs from Methods in Ecology and Evolution
#1,497
of 2,441 outputs
Outputs of similar age
#41,936
of 275,911 outputs
Outputs of similar age from Methods in Ecology and Evolution
#38
of 53 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,441 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one is in the 38th percentile – i.e., 38% 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 275,911 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 53 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.