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Mendeley readers
Attention Score in Context
| Chapter title |
How to Combine ChIP with qPCR
|
|---|---|
| Chapter number | 3 |
| Book title |
Chromatin Immunoprecipitation
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7380-4_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7379-8, 978-1-4939-7380-4
|
| Authors |
Patrik Asp, Asp, Patrik |
| Abstract |
Chromatin immunoprecipitation (ChIP) coupled with quantitative PCR (qPCR) has in the last 15 years become a basic mainstream tool in genomic research. Numerous commercially available ChIP kits, qPCR kits, and real-time PCR systems allow for quick and easy analysis of virtually anything chromatin-related as long as there is an available antibody. However, the highly accurate quantitative dimension added by using qPCR to analyze ChIP samples significantly raises the bar in terms of experimental accuracy, appropriate controls, data analysis, and data presentation. This chapter will address these potential pitfalls by providing protocols and procedures that address the difficulties inherent in ChIP-qPCR assays. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Bachelor | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Other | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 2 | 5% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 43% |
| Agricultural and Biological Sciences | 6 | 15% |
| Immunology and Microbiology | 2 | 5% |
| Mathematics | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 May 2020.
All research outputs
#7,542,164
of 23,009,818 outputs
Outputs from Methods in molecular biology
#2,339
of 13,157 outputs
Outputs of similar age
#153,692
of 442,310 outputs
Outputs of similar age from Methods in molecular biology
#230
of 1,498 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 442,310 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.