| Title |
Modeling sapling distribution over time using a functional predictor in a generalized additive model
|
|---|---|
| Published in |
Annals of Forest Science , January 2018
|
| DOI | 10.1007/s13595-017-0685-3 |
| Authors |
Daniel Moreno-Fernández, Nicole H. Augustin, Fernando Montes, Isabel Cañellas, Mariola Sánchez-González |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 50% |
| Spain | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 30% |
| Environmental Science | 3 | 13% |
| Engineering | 2 | 9% |
| Economics, Econometrics and Finance | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 January 2018.
All research outputs
#7,997,001
of 25,837,817 outputs
Outputs from Annals of Forest Science
#731
of 982 outputs
Outputs of similar age
#146,412
of 457,207 outputs
Outputs of similar age from Annals of Forest Science
#25
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 25th percentile – i.e., 25% 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 457,207 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 67% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.