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 |
A few-shot learning method for tobacco abnormality identification
|
|---|---|
| Published in |
Frontiers in Plant Science, March 2024
|
| DOI | 10.3389/fpls.2024.1333236 |
| Pubmed ID | |
| Authors |
Hong Lin, Zhenping Qiang, Rita Tse, Su-Kit Tang, Giovanni Pau |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 17% |
| Colombia | 1 | 8% |
| Mexico | 1 | 8% |
| Japan | 1 | 8% |
| Algeria | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 33% |
| Lecturer | 1 | 33% |
| Unspecified | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Mathematics | 1 | 33% |
| Computer Science | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 May 2024.
All research outputs
#7,992,710
of 25,944,331 outputs
Outputs from Frontiers in Plant Science
#4,654
of 24,969 outputs
Outputs of similar age
#98,015
of 327,252 outputs
Outputs of similar age from Frontiers in Plant Science
#53
of 484 outputs
Altmetric has tracked 25,944,331 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 24,969 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 327,252 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 69% of its contemporaries.
We're also able to compare this research output to 484 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.