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Mendeley readers
Attention Score in Context
| Chapter title |
Antibody Validation by Immunoprecipitation Followed by Mass Spectrometry Analysis
|
|---|---|
| Chapter number | 10 |
| Book title |
Synthetic Antibodies
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6857-2_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6855-8, 978-1-4939-6857-2
|
| Authors |
Helena Persson, Charlotta Preger, Edyta Marcon, Johan Lengqvist, Susanne Gräslund |
| Editors |
Thomas Tiller |
| Abstract |
We describe a mass spectrometry-based approach for validation of antibody specificity. This method allows validation of antibodies or antibody fragments, against their endogenous targets. It can assess if the antibody is able to bind to its native antigen in cell lysates among thousands of other proteins, DNA, RNA, and other cellular components. In addition, it identifies other proteins the antibody is able to immunoprecipitate allowing for the assessment of antibody specificity and selectivity. This method is easily scalable, adaptable to different cell lines and conditions and has been shown to be reproducible between multiple laboratories. |
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 % |
|---|---|---|
| Unknown | 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 18% |
| Student > Bachelor | 3 | 18% |
| Student > Master | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Other | 4 | 24% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 35% |
| Medicine and Dentistry | 3 | 18% |
| Engineering | 2 | 12% |
| Chemistry | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 24% |
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 March 2022.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Methods in molecular biology
#8,199
of 13,410 outputs
Outputs of similar age
#238,819
of 311,706 outputs
Outputs of similar age from Methods in molecular biology
#157
of 266 outputs
Altmetric has tracked 23,577,654 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 13,410 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 311,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 266 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.