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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Considering evolutionary processes in adaptive forestry
|
|---|---|
| Published in |
Annals of Forest Science , March 2013
|
| DOI | 10.1007/s13595-013-0272-1 |
| Authors |
François Lefèvre, Thomas Boivin, Aurore Bontemps, François Courbet, Hendrik Davi, Marion Durand-Gillmann, Bruno Fady, Julie Gauzere, Cindy Gidoin, Marie-Joe Karam, Hadrien Lalagüe, Sylvie Oddou-Muratorio, Christian Pichot |
X Demographics
The data shown below were collected from the profiles of 8 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 | 38% |
| United Kingdom | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 38% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 1% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Argentina | 1 | <1% |
| Belgium | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 165 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 30% |
| Student > Ph. D. Student | 28 | 16% |
| Student > Master | 18 | 10% |
| Professor > Associate Professor | 10 | 6% |
| Student > Bachelor | 9 | 5% |
| Other | 25 | 14% |
| Unknown | 33 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 49% |
| Environmental Science | 35 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 3% |
| Engineering | 3 | 2% |
| Social Sciences | 2 | 1% |
| Other | 3 | 2% |
| Unknown | 40 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 July 2016.
All research outputs
#4,888,280
of 25,878,862 outputs
Outputs from Annals of Forest Science
#459
of 952 outputs
Outputs of similar age
#38,562
of 209,491 outputs
Outputs of similar age from Annals of Forest Science
#1
of 7 outputs
Altmetric has tracked 25,878,862 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952 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 51% 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 209,491 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them