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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning for image-based large-flowered chrysanthemum cultivar recognition
|
|---|---|
| Published in |
Plant Methods, December 2019
|
| DOI | 10.1186/s13007-019-0532-7 |
| Pubmed ID | |
| Authors |
Zhilan Liu, Jue Wang, Ye Tian, Silan Dai |
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 % |
|---|---|---|
| Mexico | 1 | 33% |
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 3 | 10% |
| Other | 2 | 7% |
| Student > Bachelor | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 16 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 17% |
| Computer Science | 4 | 14% |
| Engineering | 2 | 7% |
| Medicine and Dentistry | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 55% |
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 05 December 2019.
All research outputs
#14,968,328
of 23,885,338 outputs
Outputs from Plant Methods
#747
of 1,140 outputs
Outputs of similar age
#250,886
of 464,476 outputs
Outputs of similar age from Plant Methods
#26
of 50 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,140 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 33rd percentile – i.e., 33% 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 464,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 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 50% of its contemporaries.