| Title |
Improving the design of long-term monitoring experiments in forests: a new method for the assessment of local soil variability by combining infrared spectroscopy and dendrometric data
|
|---|---|
| Published in |
Annals of Forest Science , August 2016
|
| DOI | 10.1007/s13595-016-0572-3 |
| Authors |
Emila Akroume, Bernd Zeller, Marc Buée, Philippe Santenoise, Laurent Saint-André |
X Demographics
The data shown below were collected from the profiles of 4 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 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 33% |
| Student > Master | 4 | 22% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Doctoral Student | 3 | 17% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 28% |
| Environmental Science | 4 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Earth and Planetary Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |
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 29 December 2016.
All research outputs
#3,779,497
of 25,374,917 outputs
Outputs from Annals of Forest Science
#247
of 942 outputs
Outputs of similar age
#62,600
of 348,505 outputs
Outputs of similar age from Annals of Forest Science
#3
of 15 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 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 67% 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 348,505 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 81% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.