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Attention Score in Context
| Title |
Reversed-phase Chromatography in an Extended Nanospace: Separating Amino Acids in Short and Long Nanochannels
|
|---|---|
| Published in |
Analytical Sciences, November 2015
|
| DOI | 10.2116/analsci.31.1201 |
| Pubmed ID | |
| Authors |
Adelina Smirnova, Hisashi Shimizu, Kazuma Mawatari, Takehiko Kitamori |
| Abstract |
Micro- and nanofluidics has attracted much attention, particularly concerning single-cell analysis when small amounts of liquids are examined. In present work we successfully fabricated extended-nano channels that were more narrow and shorter (2 mm) as well as wider and longer (10 mm), and accomplished a reversed-phase HPLC separation of labeled amino acids on these channels after octadecylsilylation (ODS). The separation performance characteristics were compared for both types of nano spaces. At an equal amount of pressure, the longer extended-nano channels showed permeability that was one-order higher (K = 47 × 10(-14) m(2)) and separation impedance (E = 13) that was one-order lower than that of the shorter version. Also, the separation plate number for the longer channel was 4000 with a plate height of 2.5 μm. Both channels have advantages for use in single-cell analysis. The longer channel can be applied for the separation of macromolecules (proteomics), while the short version is more applicable to small molecules (amino acids). |
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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 38% |
| Professor > Associate Professor | 3 | 38% |
| Student > Bachelor | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 2 | 25% |
| Chemistry | 2 | 25% |
| Neuroscience | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 2 | 25% |
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 14 November 2015.
All research outputs
#20,295,501
of 22,832,057 outputs
Outputs from Analytical Sciences
#769
of 900 outputs
Outputs of similar age
#236,863
of 282,792 outputs
Outputs of similar age from Analytical Sciences
#14
of 16 outputs
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So far Altmetric has tracked 900 research outputs from this source. They receive a mean Attention Score of 3.2. 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 16 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.