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 |
Detecting Protein-DNA Interactions Using a Modified Yeast One-Hybrid System.
|
|---|---|
| Chapter number | 5 |
| Book title |
Transcription Factor Regulatory Networks
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-0805-9_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0804-2, 978-1-4939-0805-9
|
| Authors |
Kazuhisa Ota, Shu-Ying Feng, Takashi Ito, Ota, Kazuhisa, Feng, Shu-Ying, Ito, Takashi |
| Abstract |
The yeast one-hybrid (Y1H) system has been among the methods of choice to detect protein-DNA interactions. However, conventional Y1H systems with a single auxotrophic reporter gene often suffer from high incidence of false positives to demonstrate a limited power in large-scale screenings. Here we describe a refined Y1H system that uses two independent bait sequences, each controlling a distinct reporter gene integrated in the host genome. With these modifications and a method of targeted DNA methylation, we succeeded in efficient isolation of clones for methylated DNA-binding proteins from mammalian cDNA libraries. |
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 % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 56% |
| Student > Bachelor | 2 | 22% |
| Student > Master | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 56% |
| Agricultural and Biological Sciences | 2 | 22% |
| Nursing and Health Professions | 1 | 11% |
| Unknown | 1 | 11% |
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 August 2015.
All research outputs
#17,722,094
of 22,757,090 outputs
Outputs from Methods in molecular biology
#7,186
of 13,089 outputs
Outputs of similar age
#220,816
of 305,260 outputs
Outputs of similar age from Methods in molecular biology
#262
of 597 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 305,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 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 50% of its contemporaries.