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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Identification of Acetylated Proteins in Borrelia burgdorferi
|
|---|---|
| Chapter number | 14 |
| Book title |
Borrelia burgdorferi
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7383-5_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7382-8, 978-1-4939-7383-5
|
| Authors |
Youyun Yang, Alan Wolfe, X. Frank Yang |
| Abstract |
Posttranslational modification (PTM) of proteins has emerged as a major regulatory mechanism in all three domains of life. One emerging PTM is Nε-lysine acetylation-the acetylation of the epsilon amino group of lysine residues. Nε-lysine acetylation is known to regulate multiple cellular processes. In eukaryotes, it regulates chromatin structure, transcription, metabolism, signal transduction, and the cytoskeleton. Recently, multiple groups have detected Nε-lysine acetylation in diverse bacterial phyla, but no work on protein acetylation in Borrelia burgdorferi has been reported. Here, we describe a step-by-step protocol to identify Nε-lysine acetylated proteins in B. burgdorferi. |
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 % |
|---|---|---|
| France | 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Agricultural and Biological Sciences | 1 | 13% |
| Immunology and Microbiology | 1 | 13% |
| Unknown | 4 | 50% |
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 18 October 2017.
All research outputs
#20,450,513
of 23,006,268 outputs
Outputs from Methods in molecular biology
#9,941
of 13,160 outputs
Outputs of similar age
#378,088
of 442,254 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,006,268 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 13,160 research outputs from this source. They receive a mean Attention Score of 3.4. 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 442,254 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 1,498 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.