Plant Vacuolar Trafficking
Springer New York
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Mendeley readers
Attention Score in Context
| Chapter title |
Flow Cytometry and Fluorescence Microscopy as Tools for Structural and Functional Analysis of Vacuoles Isolated from Yeast and Plant Cells
|
|---|---|
| Chapter number | 8 |
| Book title |
Plant Vacuolar Trafficking
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7856-4_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7855-7, 978-1-4939-7856-4
|
| Authors |
Jorge M. P. Rodrigues, Cátia S. Pereira, Natacha Fontes, Hernâni Gerós, Manuela Côrte-Real, Rodrigues, Jorge M. P., Pereira, Cátia S., Fontes, Natacha, Gerós, Hernâni, Côrte-Real, Manuela |
| Abstract |
A series of optimized protocols to isolate vacuoles from both yeast and plant cells, and to characterize the purified organelles at a functional and structural level, are described. For this purpose, we took advantage of the combined use of cell fractionation techniques with different fluorescence-based approaches namely flow cytometry, fluorescence microscopy and spectrofluorimetry. These protocols altogether constitute valuable tools for the study of vacuole structure and function, as well as for the high-throughput screening of drug libraries to identify new molecules that target the vacuole. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 40% |
| Student > Bachelor | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 40% |
| Computer Science | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Unknown | 1 | 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 28 November 2018.
All research outputs
#15,010,626
of 23,090,520 outputs
Outputs from Methods in molecular biology
#4,749
of 13,207 outputs
Outputs of similar age
#256,083
of 442,634 outputs
Outputs of similar age from Methods in molecular biology
#508
of 1,499 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 442,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 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 60% of its contemporaries.