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 |
Opening the black box: explainable deep-learning classification of wood microscopic image of endangered tree species
|
|---|---|
| Published in |
Plant Methods, April 2024
|
| DOI | 10.1186/s13007-024-01191-6 |
| Pubmed ID | |
| Authors |
Chang Zheng, Shoujia Liu, Jiajun Wang, Yang Lu, Lingyu Ma, Lichao Jiao, Juan Guo, Yafang Yin, Tuo He |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Thailand | 1 | 14% |
| India | 1 | 14% |
| Mexico | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 50% |
| Student > Ph. D. Student | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Researcher | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 50% |
| Agricultural and Biological Sciences | 2 | 25% |
| Computer Science | 1 | 13% |
| Materials Science | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 May 2024.
All research outputs
#7,516,962
of 25,852,155 outputs
Outputs from Plant Methods
#470
of 1,292 outputs
Outputs of similar age
#52,417
of 188,573 outputs
Outputs of similar age from Plant Methods
#9
of 24 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 63% 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 188,573 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.