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Mendeley readers
Attention Score in Context
| Title |
Rapid Adsorption of Copper(II) and Lead(II) by Rice Straw/Fe3O4 Nanocomposite: Optimization, Equilibrium Isotherms, and Adsorption Kinetics Study
|
|---|---|
| Published in |
PLOS ONE, March 2015
|
| DOI | 10.1371/journal.pone.0120264 |
| Pubmed ID | |
| Authors |
Roshanak Khandanlou, Mansor B. Ahmad, Hamid Reza Fard Masoumi, Kamyar Shameli, Mahiran Basri, Katayoon Kalantari |
| Abstract |
Rice straw/magnetic nanocomposites (RS/Fe3O4-NCs) were prepared via co-precipitation method for removal of Pb(II) and Cu(II) from aqueous solutions. Response surface methodology (RSM) was utilized to find the optimum conditions for removal of ions. The effects of three independent variables including initial ion concentration, removal time, and adsorbent dosage were investigated on the maximum adsorption of Pb (II) and Cu (II). The optimum conditions for the adsorption of Pb(II) and Cu(II) were obtained (100 and 60 mg/L) of initial ion concentration, (41.96 and 59.35 s) of removal time and 0.13 g of adsorbent for both ions, respectively. The maximum removal efficiencies of Pb(II) and Cu(II) were obtained 96.25% and 75.54%, respectively. In the equilibrium isotherm study, the adsorption data fitted well with the Langmuir isotherm model. The adsorption kinetics was best depicted by the pseudo-second order model. Desorption experiments showed adsorbent can be reused successfully for three adsorption-desorption cycles. |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | <1% |
| Malaysia | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 106 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 15% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Master | 11 | 10% |
| Researcher | 9 | 8% |
| Other | 7 | 6% |
| Other | 25 | 23% |
| Unknown | 28 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 28 | 26% |
| Engineering | 17 | 16% |
| Chemical Engineering | 10 | 9% |
| Environmental Science | 9 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 36 | 33% |
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 June 2020.
All research outputs
#15,327,280
of 22,796,179 outputs
Outputs from PLOS ONE
#130,734
of 194,556 outputs
Outputs of similar age
#157,141
of 263,558 outputs
Outputs of similar age from PLOS ONE
#3,798
of 6,414 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% 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 263,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6,414 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.