| Title |
A comparison of high-throughput techniques for assaying circadian rhythms in plants
|
|---|---|
| Published in |
Plant Methods, May 2015
|
| DOI | 10.1186/s13007-015-0071-9 |
| Pubmed ID | |
| Authors |
Andrew J Tindall, Jade Waller, Mark Greenwood, Peter D Gould, James Hartwell, Anthony Hall |
| Abstract |
Over the last two decades, the development of high-throughput techniques has enabled us to probe the plant circadian clock, a key coordinator of vital biological processes, in ways previously impossible. With the circadian clock increasingly implicated in key fitness and signalling pathways, this has opened up new avenues for understanding plant development and signalling. Our tool-kit has been constantly improving through continual development and novel techniques that increase throughput, reduce costs and allow higher resolution on the cellular and subcellular levels. With circadian assays becoming more accessible and relevant than ever to researchers, in this paper we offer a review of the techniques currently available before considering the horizons in circadian investigation at ever higher throughputs and resolutions. |
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 % |
|---|---|---|
| United Kingdom | 3 | 100% |
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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Singapore | 1 | 1% |
| Unknown | 66 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 15 | 22% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Other | 14 | 20% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 58% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Computer Science | 2 | 3% |
| Philosophy | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 14 | 20% |
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 08 May 2015.
All research outputs
#14,186,148
of 23,509,982 outputs
Outputs from Plant Methods
#684
of 1,120 outputs
Outputs of similar age
#133,638
of 265,623 outputs
Outputs of similar age from Plant Methods
#7
of 14 outputs
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So far Altmetric has tracked 1,120 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 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 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 57% of its contemporaries.