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Mendeley readers
Attention Score in Context
| Chapter title |
Micellar Electrokinetic Chromatography of Aminoglycosides.
|
|---|---|
| Chapter number | 5 |
| Book title |
Capillary Electrophoresis
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6403-1_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6401-7, 978-1-4939-6403-1
|
| Authors |
Ulrike Holzgrabe, Stefanie Schmitt, Frank Wienen |
| Editors |
Philippe Schmitt-Kopplin |
| Abstract |
The components of the aminoglycosides, e.g., gentamicin, sisomicin, netilmicin, kanamycin, amikacin, and tobramycin, and related impurities of these antibiotics can be separated by means of micellar electrokinetic chromatography (MEKC). Derivatization with o-phthaldialdehyde and thioglycolic acid is found to be appropriate for these antibiotics. The background electrolyte was composed of sodium tetraborate (100 mM), sodium deoxycholate (20 mM), and β-cyclodextrin (15 mM) having a pH value of 10.0. This method is valid for evaluation of gentamicin, kanamycin, and tobramycin. It has to be adopted for amikacin, paromomycin, neomycin, and netilmicin. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Student > Bachelor | 3 | 14% |
| Unspecified | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 6 | 29% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 19% |
| Chemistry | 4 | 19% |
| Engineering | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Business, Management and Accounting | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 4 | 19% |
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 February 2018.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from Methods in molecular biology
#9,920
of 13,133 outputs
Outputs of similar age
#330,782
of 393,722 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 22,890,496 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 13,133 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 393,722 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 1,471 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.