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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer vision and machine learning enabled soybean root phenotyping pipeline
|
|---|---|
| Published in |
Plant Methods, January 2020
|
| DOI | 10.1186/s13007-019-0550-5 |
| Pubmed ID | |
| Authors |
Kevin G. Falk, Talukder Z. Jubery, Seyed V. Mirnezami, Kyle A. Parmley, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh |
X Demographics
The data shown below were collected from the profiles of 22 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 | 3 | 14% |
| United States | 3 | 14% |
| Germany | 3 | 14% |
| Canada | 2 | 9% |
| Japan | 1 | 5% |
| Australia | 1 | 5% |
| Italy | 1 | 5% |
| France | 1 | 5% |
| Switzerland | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 6 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 191 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 14% |
| Student > Master | 21 | 11% |
| Researcher | 16 | 8% |
| Student > Doctoral Student | 13 | 7% |
| Other | 10 | 5% |
| Other | 29 | 15% |
| Unknown | 75 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 30% |
| Computer Science | 17 | 9% |
| Engineering | 16 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Chemistry | 3 | 2% |
| Other | 18 | 9% |
| Unknown | 75 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 23 March 2020.
All research outputs
#2,223,500
of 22,685,926 outputs
Outputs from Plant Methods
#109
of 1,072 outputs
Outputs of similar age
#56,492
of 450,158 outputs
Outputs of similar age from Plant Methods
#6
of 46 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,072 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 done well, scoring higher than 89% 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 450,158 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.