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Mendeley readers
Attention Score in Context
Chapter title |
High-Performance Liquid Chromatography (HPLC)-Based Detection and Quantitation of Cellular c-di-GMP.
|
---|---|
Chapter number | 4 |
Book title |
c-di-GMP Signaling
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7240-1_4 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7239-5, 978-1-4939-7240-1
|
Authors |
Petrova, Olga E, Sauer, Karin, Olga E. Petrova, Karin Sauer |
Abstract |
The modulation of c-di-GMP levels plays a vital role in the regulation of various processes in a wide array of bacterial species. Thus, investigation of c-di-GMP regulation requires reliable methods for the assessment of c-di-GMP levels and turnover. Reversed-phase high-performance liquid chromatography (RP-HPLC) analysis has become a commonly used approach to accomplish these goals. The following describes the extraction and HPLC-based detection and quantification of c-di-GMP from Pseudomonas aeruginosa samples, a procedure that is amenable to modifications for the analysis of c-di-GMP in other bacterial species. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 423 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 104 | 25% |
Student > Master | 32 | 8% |
Student > Ph. D. Student | 14 | 3% |
Researcher | 8 | 2% |
Student > Postgraduate | 5 | 1% |
Other | 13 | 3% |
Unknown | 247 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 53 | 13% |
Chemistry | 32 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 24 | 6% |
Agricultural and Biological Sciences | 21 | 5% |
Medicine and Dentistry | 9 | 2% |
Other | 24 | 6% |
Unknown | 260 | 61% |
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 11 September 2017.
All research outputs
#18,571,001
of 23,001,641 outputs
Outputs from Methods in molecular biology
#7,957
of 13,154 outputs
Outputs of similar age
#311,389
of 421,214 outputs
Outputs of similar age from Methods in molecular biology
#693
of 1,074 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,154 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 421,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.