| Title |
Using radiocarbon-calibrated dendrochronology to improve tree-cutting cycle estimates for timber management in southern Amazon forests
|
|---|---|
| Published in |
Trees, January 2018
|
| DOI | 10.1007/s00468-018-1658-3 |
| Authors |
Dirceu Lucio C. de Miranda, Niro Higuchi, Susan E. Trumbore, João Vicente F. Latorraca, Jair F. do Carmo, Adriano J. N. Lima |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Bachelor | 8 | 19% |
| Student > Master | 5 | 12% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 11 | 26% |
| Agricultural and Biological Sciences | 9 | 21% |
| Social Sciences | 3 | 7% |
| Engineering | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 March 2018.
All research outputs
#18,563,902
of 23,839,820 outputs
Outputs from Trees
#362
of 562 outputs
Outputs of similar age
#338,570
of 478,068 outputs
Outputs of similar age from Trees
#10
of 17 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 562 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 33rd percentile – i.e., 33% 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 478,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.