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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Identification of Protein–Protein Interactions Using Pool-Array-Based Yeast Two-Hybrid Screening
|
|---|---|
| Chapter number | 3 |
| Book title |
Two-Hybrid Systems
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7871-7_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7870-0, 978-1-4939-7871-7
|
| Authors |
Thomas Lathouwers, Jeroen Wagemans, Rob Lavigne, Lathouwers, Thomas, Wagemans, Jeroen, Lavigne, Rob |
| Abstract |
Array-based yeast two-hybrid (Y2H) screening in combination with a pooling strategy permits identification of complete interaction networks. After discussing the general advantages and drawbacks of Y2H, this chapter provides a detailed protocol for an array-based Gal4p Y2H screen using a pooling strategy to improve efficacy of the experimental work. This includes bait transformation, bait autoactivation testing, pooling of the baits and preys, yeast mating and evaluation of the results. Moreover, a one-on-one confirmation protocol and a quantitative α-galactosidase assay protocol to compare interaction strengths are provided. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Belgium | 1 | 50% |
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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Student > Bachelor | 2 | 25% |
| Student > Ph. D. Student | 2 | 25% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 63% |
| Computer Science | 1 | 13% |
| Neuroscience | 1 | 13% |
| Unknown | 1 | 13% |
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 04 July 2018.
All research outputs
#15,012,809
of 23,094,276 outputs
Outputs from Methods in molecular biology
#4,750
of 13,207 outputs
Outputs of similar age
#256,093
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#508
of 1,499 outputs
Altmetric has tracked 23,094,276 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 442,643 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.