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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Early real-time detection algorithm of tomato diseases and pests in the natural environment
|
|---|---|
| Published in |
Plant Methods, April 2021
|
| DOI | 10.1186/s13007-021-00745-2 |
| Pubmed ID | |
| Authors |
Xuewei Wang, Jun Liu, Xiaoning Zhu |
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 % |
|---|---|---|
| Thailand | 1 | 14% |
| United States | 1 | 14% |
| Brazil | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 10% |
| Student > Ph. D. Student | 4 | 5% |
| Unspecified | 3 | 4% |
| Lecturer | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 42 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 14% |
| Agricultural and Biological Sciences | 5 | 7% |
| Unspecified | 3 | 4% |
| Engineering | 3 | 4% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 47 | 64% |
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 08 June 2021.
All research outputs
#7,312,184
of 24,132,754 outputs
Outputs from Plant Methods
#455
of 1,153 outputs
Outputs of similar age
#153,639
of 428,259 outputs
Outputs of similar age from Plant Methods
#10
of 31 outputs
Altmetric has tracked 24,132,754 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 59% 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 428,259 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 63% of its contemporaries.
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 has gotten more attention than average, scoring higher than 70% of its contemporaries.