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Mendeley readers
Attention Score in Context
| Title |
Spatial and temporal air quality pattern recognition using environmetric techniques: a case study in Malaysia
|
|---|---|
| Published in |
Environmental Science: Processes & Impacts, January 2013
|
| DOI | 10.1039/c3em00161j |
| Pubmed ID | |
| Authors |
Sharifah Norsukhairin Syed Abdul Mutalib, Hafizan Juahir, Azman Azid, Sharifah Mohd Sharif, Mohd Talib Latif, Ahmad Zaharin Aris, Sharifuddin M. Zain, Doreena Dominick |
| Abstract |
The objective of this study is to identify spatial and temporal patterns in the air quality at three selected Malaysian air monitoring stations based on an eleven-year database (January 2000-December 2010). Four statistical methods, Discriminant Analysis (DA), Hierarchical Agglomerative Cluster Analysis (HACA), Principal Component Analysis (PCA) and Artificial Neural Networks (ANNs), were selected to analyze the datasets of five air quality parameters, namely: SO2, NO2, O3, CO and particulate matter with a diameter size of below 10 μm (PM10). The three selected air monitoring stations share the characteristic of being located in highly urbanized areas and are surrounded by a number of industries. The DA results show that spatial characterizations allow successful discrimination between the three stations, while HACA shows the temporal pattern from the monthly and yearly factor analysis which correlates with severe haze episodes that have happened in this country at certain periods of time. The PCA results show that the major source of air pollution is mostly due to the combustion of fossil fuel in motor vehicles and industrial activities. The spatial pattern recognition (S-ANN) results show a better prediction performance in discriminating between the regions, with an excellent percentage of correct classification compared to DA. This study presents the necessity and usefulness of environmetric techniques for the interpretation of large datasets aiming to obtain better information about air quality patterns based on spatial and temporal characterizations at the selected air monitoring stations. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | 2% |
| Unknown | 116 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 18% |
| Student > Master | 20 | 17% |
| Researcher | 14 | 12% |
| Student > Bachelor | 13 | 11% |
| Professor | 4 | 3% |
| Other | 13 | 11% |
| Unknown | 33 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 41 | 35% |
| Engineering | 12 | 10% |
| Computer Science | 6 | 5% |
| Mathematics | 5 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 13 | 11% |
| Unknown | 38 | 32% |
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 22 January 2014.
All research outputs
#23,109,385
of 25,756,911 outputs
Outputs from Environmental Science: Processes & Impacts
#1,713
of 1,872 outputs
Outputs of similar age
#260,621
of 291,040 outputs
Outputs of similar age from Environmental Science: Processes & Impacts
#82
of 94 outputs
Altmetric has tracked 25,756,911 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 1,872 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 291,040 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 94 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.