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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
In vivo Proteomics Approaches for the Analysis of Bacterial Adaptation Reactions in Host–Pathogen Settings
|
|---|---|
| Chapter number | 15 |
| Book title |
Microbial Proteomics
|
| Published in |
Methods in molecular biology, September 2018
|
| DOI | 10.1007/978-1-4939-8695-8_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8693-4, 978-1-4939-8695-8
|
| Authors |
Henrike Pförtner, Maren Depke, Kristin Surmann, Frank Schmidt, Uwe Völker, Pförtner, Henrike, Depke, Maren, Surmann, Kristin, Schmidt, Frank, Völker, Uwe |
| Abstract |
Proteome profiling of bacteria internalized by host cells is still a challenging task, due to low amounts of bacterial proteins in host-pathogen settings and the high amounts of contaminating host proteins. Here, we describe a workflow for the enrichment of intracellular bacteria by fluorescence activated cell sorting which in combination with highly sensitive LC-MS/MS allows monitoring of about 1200 proteins from 2 to 4 × 106 internalized bacterial cells as starting material. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 100% |
| Student > Bachelor | 1 | 100% |
| Researcher | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 100% |
| Immunology and Microbiology | 1 | 100% |
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 28 September 2018.
All research outputs
#20,535,139
of 23,105,443 outputs
Outputs from Methods in molecular biology
#9,985
of 13,223 outputs
Outputs of similar age
#297,074
of 341,808 outputs
Outputs of similar age from Methods in molecular biology
#170
of 225 outputs
Altmetric has tracked 23,105,443 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 13,223 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 341,808 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 225 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.