| Title |
Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species
|
|---|---|
| Published in |
Annals of Forest Science , April 2017
|
| DOI | 10.1007/s13595-017-0619-0 |
| Authors |
Núbia Rosa da Silva, Maaike De Ridder, Jan M. Baetens, Jan Van den Bulcke, Mélissa Rousseau, Odemir Martinez Bruno, Hans Beeckman, Joris Van Acker, Bernard De Baets |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Bachelor | 7 | 13% |
| Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 8 | 15% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 29% |
| Computer Science | 9 | 17% |
| Environmental Science | 4 | 8% |
| Engineering | 4 | 8% |
| Arts and Humanities | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 9 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 01 June 2018.
All research outputs
#2,142,519
of 25,382,440 outputs
Outputs from Annals of Forest Science
#44
of 942 outputs
Outputs of similar age
#39,853
of 323,671 outputs
Outputs of similar age from Annals of Forest Science
#2
of 23 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% 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 done particularly well, scoring higher than 95% 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 323,671 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 87% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.