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Mendeley readers
Attention Score in Context
| Title |
Homogeneous Diffusion Solid Model as a Realistic Approach to Describe Adsorption onto Materials with Different Geometries
|
|---|---|
| Published in |
Discover Nano, December 2016
|
| DOI | 10.1186/s11671-016-1746-5 |
| Pubmed ID | |
| Authors |
E. Sabio, F. Zamora, C. M. González-García, B. Ledesma, A. Álvarez-Murillo, S. Román |
| Abstract |
In this work, the adsorption kinetics of p-nitrophenol (PNP) onto several commercial activated carbons (ACs) with different textural and geometrical characteristics was studied. For this aim, a homogeneous diffusion solid model (HDSM) was used, which does take the adsorbent shape into account. The HDSM was solved by means of the finite element method (FEM) using the commercial software COMSOL. The different kinetic patterns observed in the experiments carried out can be described by the developed model, which shows that the sharp drop of adsorption rate observed in some samples is caused by the formation of a concentration wave. The model allows one to visualize the changes in concentration taking place in both liquid and solid phases, which enables us to link the kinetic behaviour with the main features of the carbon samples. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 33% |
| Professor | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 4 | 19% |
| Engineering | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 6 | 29% |
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 13 December 2016.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Discover Nano
#538
of 1,146 outputs
Outputs of similar age
#265,366
of 419,611 outputs
Outputs of similar age from Discover Nano
#16
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 41st percentile – i.e., 41% 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 419,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.