You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Light Sheet Fluorescence Microscopy Optimized for Long-Term Imaging of Arabidopsis Root Development
|
---|---|
Chapter number | 11 |
Book title |
Root Development
|
Published in |
Methods in molecular biology, March 2018
|
DOI | 10.1007/978-1-4939-7747-5_11 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7746-8, 978-1-4939-7747-5
|
Authors |
Paolo Baesso, Ricardo S. Randall, Giovanni Sena |
Abstract |
Light sheet fluorescence microscopy (LSFM) allows sustained and repeated optical sectioning of living specimens at high spatial and temporal resolution, with minimal photodamage. Here, we describe in detail both the hardware and the software elements of a live imaging method based on LSFM and optimized for tracking and 3D scanning of Arabidopsis root tips grown vertically in physiological conditions. The system is relatively inexpensive and with minimal footprint; hence it is well suited for laboratories of any size. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 33% |
Student > Ph. D. Student | 2 | 17% |
Student > Postgraduate | 2 | 17% |
Student > Master | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 50% |
Biochemistry, Genetics and Molecular Biology | 2 | 17% |
Physics and Astronomy | 1 | 8% |
Design | 1 | 8% |
Unknown | 2 | 17% |
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 10 September 2019.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from Methods in molecular biology
#7,971
of 13,170 outputs
Outputs of similar age
#258,496
of 332,625 outputs
Outputs of similar age from Methods in molecular biology
#41
of 64 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 332,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.