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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Poly(Ionic Liquid) Based Chemosensors for Detection of Basic Amino Acids in Aqueous Medium
|
|---|---|
| Published in |
Frontiers in Chemistry, September 2017
|
| DOI | 10.3389/fchem.2017.00069 |
| Pubmed ID | |
| Authors |
Xinjuan Li, Kai Wang, Nana Ma, Xianbin Jia |
| Abstract |
Naked-eye detection of amino acids (AA) in water is of great significance in the field of bioanalytical applications. Herein, polymerized ionic liquids (PILs) with controlled chain length structures were synthesized via reversible addition-fragmentation chain-transfer (RAFT) polymerization and post-quaternization approach. The AA recognition performance of PILs with different alkyl chain lengths and molecular weights was evaluated by naked-eye color change and ultraviolet-visible (UV-vis) spectral studies. These PILs were successfully used for highly sensitive and selective detection of Arg, Lys, and His in water. The recognition performance was improved effectively with increased molecular weight of PILs. The biosensitivity of the PILs in water was strongly dependent on their aggregation effect and polarization effect. Highly sensitive and selective detection of AA was successfully accomplished by introducing positively charged pyridinium moieties and controlled RAFT radical polymerization. |
X Demographics
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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 20% |
| Student > Doctoral Student | 2 | 13% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 27% |
| Environmental Science | 1 | 7% |
| Materials Science | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 8 | 53% |
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 27 September 2017.
All research outputs
#20,448,386
of 23,003,906 outputs
Outputs from Frontiers in Chemistry
#2,935
of 6,008 outputs
Outputs of similar age
#279,687
of 320,414 outputs
Outputs of similar age from Frontiers in Chemistry
#24
of 38 outputs
Altmetric has tracked 23,003,906 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 6,008 research outputs from this source. They receive a mean Attention Score of 2.0. 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 320,414 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 38 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.