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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developmental normalization of phenomics data generated by high throughput plant phenotyping systems
|
|---|---|
| Published in |
Plant Methods, August 2020
|
| DOI | 10.1186/s13007-020-00653-x |
| Pubmed ID | |
| Authors |
Diego Lozano-Claros, Xiangxiang Meng, Eddie Custovic, Guang Deng, Oliver Berkowitz, James Whelan, Mathew G. Lewsey |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 27% |
| United Kingdom | 2 | 13% |
| United States | 2 | 13% |
| Pakistan | 1 | 7% |
| Brazil | 1 | 7% |
| Peru | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Student > Bachelor | 2 | 13% |
| Student > Master | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 44% |
| Engineering | 3 | 19% |
| Computer Science | 2 | 13% |
| Environmental Science | 1 | 6% |
| Unknown | 3 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 17 November 2020.
All research outputs
#3,742,683
of 23,317,888 outputs
Outputs from Plant Methods
#203
of 1,104 outputs
Outputs of similar age
#91,971
of 399,234 outputs
Outputs of similar age from Plant Methods
#8
of 41 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 81% 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 399,234 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 76% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.