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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Micro-Respiratory Measurements in Plants.
|
|---|---|
| Chapter number | 13 |
| Book title |
Plant Mitochondria
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2639-8_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2638-1, 978-1-4939-2639-8
|
| Authors |
Sew, Yun Shin, Millar, A Harvey, Stroeher, Elke, Yun Shin Sew, A. Harvey Millar, Elke Stroeher |
| Editors |
James Whelan, Monika W. Murcha |
| Abstract |
Respiratory measurement in plants is one of the commonly used techniques to assess metabolic activity and in vivo redox state of plant mitochondria. However, respiration rate monitoring of Arabidopsis (Arabidopsis thaliana) remains a challenge for researchers due to the small size of its organs. In this chapter we introduce adaptations to micro-respiratory technologies to study three tissues of special interest to plant biologists: leaf sections, root tips, and seeds in this model plant species. This assay opens up new possibilities to screen and study mutants and to identify differences in ecotypes or populations of plants. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Researcher | 3 | 27% |
| Professor | 1 | 9% |
| Student > Master | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 55% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Nursing and Health Professions | 1 | 9% |
| Unknown | 2 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 January 2016.
All research outputs
#20,302,535
of 22,840,638 outputs
Outputs from Methods in molecular biology
#9,917
of 13,127 outputs
Outputs of similar age
#295,932
of 353,212 outputs
Outputs of similar age from Methods in molecular biology
#636
of 997 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 353,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.