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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Derivatization-based High-throughput Bioanalysis by LC-MS
|
|---|---|
| Published in |
Analytical Sciences, May 2017
|
| DOI | 10.2116/analsci.33.555 |
| Pubmed ID | |
| Authors |
Toshimasa Toyo'oka |
| Abstract |
Liquid chromatography coupled with mass spectrometry (LC-MS) is one of the most prominent analytical techniques due to its inherent selectivity and sensitivity. LC-MS is currently the first choice for high-throughput bioanalysis due to the advancements in MS instruments and the analytical software. Based on this situation, we are developing various types of derivatization reagents, including chiral reagents for MS and/or MS/MS detection. These developed reagents are adopted for the detection of biomarker candidates related to diseases. The biomarker candidates include not only achiral molecules, but also chiral ones. Although determining the already-identified chiral molecules is relative easy, it is very difficult to identify and/or determine unknown enantiomer(s) in real samples. To solve this difficulty, we proposed a new strategy to identify unknown enantiomeric biomarkers related to diseases. This review paper deals with the development of derivatization reagents for amines and carboxylic acids in LC-MS analysis and their application to bioanalysis. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Germany | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Student > Bachelor | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 13 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 13% |
| Agricultural and Biological Sciences | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Psychology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 12 | 30% |
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 30 May 2017.
All research outputs
#17,897,310
of 22,977,819 outputs
Outputs from Analytical Sciences
#687
of 905 outputs
Outputs of similar age
#222,220
of 310,798 outputs
Outputs of similar age from Analytical Sciences
#5
of 13 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 905 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 22nd percentile – i.e., 22% 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 310,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.