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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
MaxQuant for In-Depth Analysis of Large SILAC Datasets.
|
|---|---|
| Chapter number | 24 |
| Book title |
Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)
|
| Published in |
Methods in molecular biology, July 2014
|
| DOI | 10.1007/978-1-4939-1142-4_24 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1141-7, 978-1-4939-1142-4
|
| Authors |
Tyanova S, Mann M, Cox J, Stefka Tyanova, Matthias Mann, Jürgen Cox |
| Abstract |
Proteomics experiments can generate very large volumes of data, in particular in situations where within one experimental design many samples are compared to each other, possibly in combination with pre-fractionation of samples prior to LC-MS analysis. Here we provide a step-by-step protocol explaining how the current MaxQuant version can be used to analyze large SILAC-labeling datasets in an efficient way. |
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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 34% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Postgraduate | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Professor | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 39% |
| Agricultural and Biological Sciences | 14 | 23% |
| Medicine and Dentistry | 6 | 10% |
| Chemistry | 4 | 7% |
| Computer Science | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 9 | 15% |
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 02 January 2015.
All research outputs
#20,248,338
of 22,776,824 outputs
Outputs from Methods in molecular biology
#9,866
of 13,092 outputs
Outputs of similar age
#193,380
of 229,503 outputs
Outputs of similar age from Methods in molecular biology
#35
of 70 outputs
Altmetric has tracked 22,776,824 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 13,092 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.
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We're also able to compare this research output to 70 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.