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 |
Wheat ear counting using K-means clustering segmentation and convolutional neural network
|
|---|---|
| Published in |
Plant Methods, August 2020
|
| DOI | 10.1186/s13007-020-00648-8 |
| Pubmed ID | |
| Authors |
Xin Xu, Haiyang Li, Fei Yin, Lei Xi, Hongbo Qiao, Zhaowu Ma, Shuaijie Shen, Binchao Jiang, Xinming Ma |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 40% |
| South Africa | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Lecturer | 3 | 6% |
| Student > Master | 3 | 6% |
| Professor | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 21 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 21% |
| Computer Science | 7 | 15% |
| Engineering | 4 | 9% |
| Arts and Humanities | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 24 | 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 13 August 2020.
All research outputs
#13,690,633
of 23,228,787 outputs
Outputs from Plant Methods
#642
of 1,099 outputs
Outputs of similar age
#201,175
of 398,886 outputs
Outputs of similar age from Plant Methods
#23
of 38 outputs
Altmetric has tracked 23,228,787 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,099 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 38th percentile – i.e., 38% 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 398,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.