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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating determinants of rural Villagers’ engagement in conservation and waste management behaviors based on integrated conceptual framework of Pro-environmental behavior
|
|---|---|
| Published in |
Life Sciences, Society and Policy, December 2016
|
| DOI | 10.1186/s40504-016-0045-3 |
| Pubmed ID | |
| Authors |
Piyapong Janmaimool, Chaweewan Denpaiboon |
| Abstract |
This study aims to evaluate determinants of villagers' engagement in pro-environmental behavior (PEB), including ecological conservation behavior (ECB) and waste management behavior (WMB). An integrated exploratory model representing the proposed relationship between villagers' engagement in ECB/WMB and their determinants was created based on the integration of the theory of planned behavior (TPB), the Stern's value belief norm (VBN) theory, environmental education and psychosocial characteristic perspectives. The potential predictors included a community norm, environmental knowledge, sense of obligation and self-efficacy, life satisfaction, place attachment, environmental worldview, perceived local environmental values, and psychosocial characteristics. Questionnaire surveys with villagers residing in the Nernkhor sub-district, Rayong province, Thailand, were conducted. The results of multiple regression analyses revealed that individuals' engagement in ECB and WMB could be predicted by a different set of predictors. ECB was well predicted by self-efficacy, place identity, and perceived environmental values; whereas, WMB was well predicted by community norm, gender, age, knowledge related to action strategies, and self-efficacy. Therefore, different environmental strategies should be constructed to enhance the engagement of villagers in pro-environmental behaviors. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Unknown | 134 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 13% |
| Student > Master | 16 | 12% |
| Lecturer | 14 | 10% |
| Researcher | 11 | 8% |
| Student > Doctoral Student | 11 | 8% |
| Other | 20 | 15% |
| Unknown | 46 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 17 | 13% |
| Business, Management and Accounting | 12 | 9% |
| Environmental Science | 10 | 7% |
| Psychology | 8 | 6% |
| Medicine and Dentistry | 6 | 4% |
| Other | 22 | 16% |
| Unknown | 60 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 21 April 2017.
All research outputs
#3,644,623
of 22,908,162 outputs
Outputs from Life Sciences, Society and Policy
#47
of 109 outputs
Outputs of similar age
#71,192
of 415,991 outputs
Outputs of similar age from Life Sciences, Society and Policy
#3
of 3 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has gotten more attention than average, scoring higher than 56% 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 415,991 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.