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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Slow-Off-Rate-Modified Aptamer Labeling for Fluorescence Microscopy and DNA-PAINT
|
|---|---|
| Chapter number | 13 |
| Book title |
Nucleic Acid Aptamers
|
| Published in |
Methods in molecular biology, January 2023
|
| DOI | 10.1007/978-1-0716-2695-5_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-162694-8, 978-1-07-162695-5
|
| Authors |
Strauss, Sebastian, Jungmann, Ralf |
| Abstract |
Super-resolution microscopy methods enable the visualization of biological processes on the level of a few nanometers. However, the application of these techniques in biological systems is limited by the availability of small affinity reagents. Slow off-rate-modified aptamers as nucleic acid analogues to antibodies have been successfully applied to improve the resolution and quantification of DNA-PAINT. In this chapter, we describe a protocol for using SOMAmers as labeling reagents for super-resolution microscopy. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 67% |
| Student > Ph. D. Student | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 67% |
| Nursing and Health Professions | 1 | 33% |
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 27 September 2022.
All research outputs
#19,250,592
of 24,513,158 outputs
Outputs from Methods in molecular biology
#7,934
of 13,803 outputs
Outputs of similar age
#314,807
of 455,803 outputs
Outputs of similar age from Methods in molecular biology
#489
of 718 outputs
Altmetric has tracked 24,513,158 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,803 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 37th percentile – i.e., 37% 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 455,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 718 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.