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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RhizoChamber-Monitor: a robotic platform and software enabling characterization of root growth
|
|---|---|
| Published in |
Plant Methods, June 2018
|
| DOI | 10.1186/s13007-018-0316-5 |
| Pubmed ID | |
| Authors |
Jie Wu, Qian Wu, Loïc Pagès, Yeqing Yuan, Xiaolei Zhang, Mingwei Du, Xiaoli Tian, Zhaohu Li |
| Abstract |
In order to efficiently determine genotypic differences in rooting patterns of crops, novel hardware and software are needed simultaneously to characterize dynamics of root development. We describe a prototype robotic monitoring platform-the RhizoChamber-Monitor for analyzing growth patterns of plant roots automatically. The RhizoChamber-Monitor comprises an automatic imaging system for acquiring sequential images of roots which grow on a cloth substrate in custom rhizoboxes, an automatic irrigation system and a flexible shading arrangement. A customized image processing software was developed to analyze the spatio-temporal dynamics of root growth from time-course images of multiple plants. This software can quantify overall growth of roots and extract detailed growth traits (e.g. dynamics of length and diameter) of primary roots and of individual lateral roots automatically. It can also identify local growth traits of lateral roots (pseudo-mean-length and pseudo-maximum-length) semi-automatically. Two cotton genotypes were used to test both the physical platform and the analysis software. The combination of hardware and software is expected to facilitate quantification of root geometry and its spatio-temporal growth patterns, and therefore to provide opportunities for high-throughput root phenotyping in support of crop breeding to optimize root architecture. |
X Demographics
The data shown below were collected from the profiles of 37 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 States | 3 | 8% |
| United Kingdom | 3 | 8% |
| Peru | 2 | 5% |
| Japan | 2 | 5% |
| Ireland | 2 | 5% |
| India | 2 | 5% |
| Spain | 1 | 3% |
| Austria | 1 | 3% |
| Germany | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 15 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 51% |
| Scientists | 16 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Ph. D. Student | 12 | 21% |
| Student > Doctoral Student | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 48% |
| Engineering | 6 | 11% |
| Computer Science | 3 | 5% |
| Environmental Science | 2 | 4% |
| Earth and Planetary Sciences | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 03 December 2021.
All research outputs
#1,594,658
of 25,753,031 outputs
Outputs from Plant Methods
#62
of 1,285 outputs
Outputs of similar age
#32,977
of 343,367 outputs
Outputs of similar age from Plant Methods
#4
of 29 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,285 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 particularly well, scoring higher than 95% 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 343,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.