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Attention Score in Context
| Title |
A structured approach to a diagnostic of collective practices
|
|---|---|
| Published in |
Frontiers in Psychology, December 2014
|
| DOI | 10.3389/fpsyg.2014.01418 |
| Pubmed ID | |
| Authors |
Cristina Bicchieri, Jan W. Lindemans, Ting Jiang |
| Abstract |
"How social norms change" is not only a theoretical question but also an empirical one. Many organizations have implemented programs to abandon harmful social norms. These programs are standardly monitored and evaluated with a set of empirical tools. While monitoring and evaluation (M&E) of changes in objective outcomes and behaviors is well-developed, we will argue that M&E of changes in the wide range of beliefs and preferences important to social norms is still problematic. In this paper, we first present a theoretical framework and then show how it should guide social norms measurement. As a case study, we focus on the harmful practice of child marriage. We show how an operational theory of social norms can guide the design of surveys, experiments, and vignettes. We use examples from existing research to illustrate how to study social norms change. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 1% |
| Unknown | 144 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 21% |
| Researcher | 26 | 18% |
| Student > Master | 11 | 8% |
| Student > Doctoral Student | 9 | 6% |
| Student > Bachelor | 9 | 6% |
| Other | 29 | 20% |
| Unknown | 32 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 45 | 31% |
| Psychology | 22 | 15% |
| Nursing and Health Professions | 9 | 6% |
| Economics, Econometrics and Finance | 9 | 6% |
| Unspecified | 6 | 4% |
| Other | 17 | 12% |
| Unknown | 38 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 May 2022.
All research outputs
#2,463,242
of 23,698,019 outputs
Outputs from Frontiers in Psychology
#4,808
of 31,599 outputs
Outputs of similar age
#35,397
of 363,691 outputs
Outputs of similar age from Frontiers in Psychology
#83
of 353 outputs
Altmetric has tracked 23,698,019 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 84% 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 363,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 353 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.