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 |
Reverse Phase Protein Arrays and Drug Discovery
|
|---|---|
| Chapter number | 10 |
| Book title |
Proteomics for Drug Discovery
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7201-2_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7200-5, 978-1-4939-7201-2
|
| Authors |
Kenneth G. Macleod, Bryan Serrels, Neil O. Carragher |
| Abstract |
Reverse Phase Protein Arrays (RPPA) represent a sensitive antibody-based proteomic approach, which enables simultaneous quantification of the abundance of multiple proteins and posttranslational modifications across multiple samples. Here, we provide protocols for RPPA performed on two distinct protein-binding substrates associated with two most commonly used RPPA platform technologies. We compare and contrast the respective advantages and limitations of each platform within the context of drug discovery applications. |
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% |
| Unknown | 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 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 % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Student > Master | 3 | 25% |
| Unspecified | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 17% |
| Unspecified | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Neuroscience | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 1 | 8% |
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 23 August 2017.
All research outputs
#17,911,821
of 22,997,544 outputs
Outputs from Methods in molecular biology
#7,275
of 13,151 outputs
Outputs of similar age
#294,377
of 421,208 outputs
Outputs of similar age from Methods in molecular biology
#641
of 1,074 outputs
Altmetric has tracked 22,997,544 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 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. 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 421,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.