| Title |
A generalized algebraic difference approach allows an improved estimation of aboveground biomass dynamics of Cunninghamia lanceolata and Castanopsis sclerophylla forests
|
|---|---|
| Published in |
Annals of Forest Science , February 2017
|
| DOI | 10.1007/s13595-016-0603-0 |
| Authors |
Xiaolu Tang, Lutz Fehrmann, Fengying Guan, David I. Forrester, Rubén Guisasola, César Pérez-Cruzado, Torsten Vor, Yuanchang Lu, Juan Gabriel Álvarez-González, Christoph Kleinn |
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 % |
|---|---|---|
| France | 2 | 40% |
| Spain | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Members of the public | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Student > Master | 5 | 24% |
| Student > Ph. D. Student | 4 | 19% |
| Student > Bachelor | 3 | 14% |
| Other | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 38% |
| Agricultural and Biological Sciences | 7 | 33% |
| Mathematics | 1 | 5% |
| Earth and Planetary Sciences | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 February 2017.
All research outputs
#14,659,707
of 25,461,852 outputs
Outputs from Annals of Forest Science
#800
of 944 outputs
Outputs of similar age
#226,060
of 449,395 outputs
Outputs of similar age from Annals of Forest Science
#19
of 25 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 944 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 15th percentile – i.e., 15% 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 449,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.