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Mendeley readers
Attention Score in Context
Chapter title |
Identifying Specific Protein-DNA Interactions Using SILAC-Based Quantitative Proteomics.
|
---|---|
Chapter number | 11 |
Book title |
Gene Regulation
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Published in |
Methods in molecular biology, February 2013
|
DOI | 10.1007/978-1-62703-284-1_11 |
Pubmed ID | |
Book ISBNs |
978-1-62703-283-4, 978-1-62703-284-1
|
Authors |
Spruijt CG, Baymaz HI, Vermeulen M, Cornelia G. Spruijt, H. Irem Baymaz, Michiel Vermeulen, Spruijt, Cornelia G., Baymaz, H. Irem, Vermeulen, Michiel |
Abstract |
A comprehensive identification of protein-DNA interactions that drive processes such as transcription and replication, both in prokaryotic and eukaryotic organisms, remains a major technical challenge. In this chapter, we present a SILAC-based DNA affinity purification method that can be used to identify specific interactions between proteins and functional DNA elements in an unbiased manner. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 23% |
Researcher | 6 | 17% |
Professor > Associate Professor | 4 | 11% |
Student > Master | 4 | 11% |
Student > Bachelor | 2 | 6% |
Other | 5 | 14% |
Unknown | 6 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 12 | 34% |
Agricultural and Biological Sciences | 11 | 31% |
Chemistry | 3 | 9% |
Unspecified | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 20% |
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 01 July 2014.
All research outputs
#20,232,430
of 22,758,248 outputs
Outputs from Methods in molecular biology
#9,865
of 13,089 outputs
Outputs of similar age
#169,596
of 193,023 outputs
Outputs of similar age from Methods in molecular biology
#30
of 35 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 193,023 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.