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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring PEGylated and immobilized laccases for catechol polymerization
|
|---|---|
| Published in |
AMB Express, August 2018
|
| DOI | 10.1186/s13568-018-0665-5 |
| Pubmed ID | |
| Authors |
Jing Su, Jennifer Noro, Jiajia Fu, Qiang Wang, Carla Silva, Artur Cavaco-Paulo |
| Abstract |
Laccases have been reported for their ability to eliminate hazardous phenolic compounds by oxidative polymerization. The exploitation of the oxidative behavior of different laccase forms, namely free/native, free/PEGylated, immobilized/native and immobilized/PEGylated, was assessed in this study. We found that PEGylated and immobilized laccase forms have differentiated catalytic behavior revealing distinct conversion rates and differentiated poly(catechol) chains, as confirmed by UV-Visible spectroscopy, by the total content of OH groups and by MALDI-TOF spectroscopy. The synergy underlying on the immobilized/PEGylated enzyme forms reveal to be responsible for the highest conversion rates and for the longer polymers produced. |
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 % |
|---|---|---|
| Portugal | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 4 | 16% |
| Chemistry | 4 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Materials Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 40% |
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 04 September 2018.
All research outputs
#18,647,094
of 23,100,534 outputs
Outputs from AMB Express
#808
of 1,245 outputs
Outputs of similar age
#256,694
of 334,082 outputs
Outputs of similar age from AMB Express
#19
of 51 outputs
Altmetric has tracked 23,100,534 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 1,245 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 21st percentile – i.e., 21% 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 334,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.