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Mendeley readers
Attention Score in Context
| Title |
Rapid Adsorption of Heavy Metals by Fe3O4/Talc Nanocomposite and Optimization Study Using Response Surface Methodology
|
|---|---|
| Published in |
International Journal of Molecular Sciences, July 2014
|
| DOI | 10.3390/ijms150712913 |
| Pubmed ID | |
| Authors |
Katayoon Kalantari, Mansor B Ahmad, Hamid Reza Fard Masoumi, Kamyar Shameli, Mahiran Basri, Roshanak Khandanlou |
| Abstract |
Fe3O4/talc nanocomposite was used for removal of Cu(II), Ni(II), and Pb(II) ions from aqueous solutions. Experiments were designed by response surface methodology (RSM) and a quadratic model was used to predict the variables. The adsorption parameters such as adsorbent dosage, removal time, and initial ion concentration were used as the independent variables and their effects on heavy metal ion removal were investigated. Analysis of variance was incorporated to judge the adequacy of the models. Optimal conditions with initial heavy metal ion concentration of 100, 92 and 270 mg/L, 120 s of removal time and 0.12 g of adsorbent amount resulted in 72.15%, 50.23%, and 91.35% removal efficiency for Cu(II), Ni(II), and Pb(II), respectively. The predictions of the model were in good agreement with experimental results and the Fe3O4/talc nanocomposite was successfully used to remove heavy metals from aqueous solutions. |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 112 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 15% |
| Student > Ph. D. Student | 15 | 13% |
| Student > Master | 15 | 13% |
| Researcher | 13 | 11% |
| Other | 5 | 4% |
| Other | 22 | 19% |
| Unknown | 27 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 40 | 35% |
| Chemical Engineering | 11 | 10% |
| Engineering | 10 | 9% |
| Materials Science | 6 | 5% |
| Environmental Science | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 32 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 September 2014.
All research outputs
#7,355,485
of 25,371,288 outputs
Outputs from International Journal of Molecular Sciences
#9,895
of 44,314 outputs
Outputs of similar age
#65,436
of 239,672 outputs
Outputs of similar age from International Journal of Molecular Sciences
#30
of 162 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 44,314 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 76% of its peers.
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 239,672 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.