You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review
|
|---|---|
| Published in |
Plant Methods, April 2021
|
| DOI | 10.1186/s13007-021-00746-1 |
| Pubmed ID | |
| Authors |
Sung-Wook Hwang, Junji Sugiyama |
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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 14% |
| Student > Ph. D. Student | 11 | 13% |
| Unspecified | 5 | 6% |
| Student > Master | 4 | 5% |
| Student > Bachelor | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 40 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 18% |
| Computer Science | 6 | 7% |
| Unspecified | 5 | 6% |
| Business, Management and Accounting | 4 | 5% |
| Environmental Science | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 44 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 May 2021.
All research outputs
#15,633,909
of 23,308,124 outputs
Outputs from Plant Methods
#844
of 1,104 outputs
Outputs of similar age
#258,629
of 437,600 outputs
Outputs of similar age from Plant Methods
#22
of 31 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 23rd percentile – i.e., 23% 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 437,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.