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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Synergistic Antibacterial Mechanism of Gentamicin-Loaded CaCO3 Nanoparticles
|
|---|---|
| Published in |
Frontiers in Chemistry, January 2018
|
| DOI | 10.3389/fchem.2017.00130 |
| Pubmed ID | |
| Authors |
Xiaohong Pan, Saili Chen, Dongzhe Li, Wenhua Rao, Yilin Zheng, Zhaoyuan Yang, Lan Li, Xiong Guan, Zhi Chen |
| Abstract |
In the present study, we used CaCO3 nanoparticles (CCNPs) as carriers to assess the physicochemical characteristics and antibacterial effect of gentamicin sulfate (GS)-loaded CCNPs (CGPs). The results indicated that CCNPs had relatively regular chain-like structure, and the size of the crystallites was around 62.5 nm. FT-IR analysis indicated that the GS could effectively load onto CCNPs. Meanwhile, the dosage of CCNPs would affect the drug loading and entrapment efficiency of GS. CCNPs could prolong the release of GS, and the complete release of GS from CCNPs was extended up to 24 h. Additionally, CCNPs could obviously increase the antibacterial effect of GS. The zeta potential analysis and microscopic investigations indicated that the adsorbed CCNPs could increase the damage level of bacterial cell wall and enhance the permeability of cell membranes, leading to increased bacterial death. |
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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Student > Bachelor | 4 | 12% |
| Researcher | 3 | 9% |
| Other | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Chemistry | 3 | 9% |
| Immunology and Microbiology | 2 | 6% |
| Materials Science | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 18 | 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 23 January 2018.
All research outputs
#20,461,148
of 23,018,998 outputs
Outputs from Frontiers in Chemistry
#2,935
of 6,010 outputs
Outputs of similar age
#378,143
of 441,019 outputs
Outputs of similar age from Frontiers in Chemistry
#42
of 71 outputs
Altmetric has tracked 23,018,998 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 6,010 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 441,019 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 71 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.