| Title |
Behavioral Genetics and Attributions of Moral Responsibility
|
|---|---|
| Published in |
Behavior Genetics, August 2018
|
| DOI | 10.1007/s10519-018-9916-0 |
| Pubmed ID | |
| Authors |
Kathryn Tabb, Matthew S. Lebowitz, Paul S. Appelbaum |
| Abstract |
While considerable research has examined how genetic explanations for behavior impact assessments of moral responsibility, results across studies have been inconsistent. Some studies suggest that genetic accounts diminish ascriptions of responsibility, but others show no effect. Nonetheless, conclusions from behavior genetics are increasingly mobilized on behalf of defendants in court, suggesting a widespread intuition that this sort of information is relevant to assessments of blameworthiness. In this paper, we consider two sorts of reasons why this kind of intuition, if it exists, is not consistently revealed in empirical studies. On the one hand, people may have complex and internally conflicting intuitions about the relationship between behavior genetics and moral responsibility. On the other hand, it may be that people are motivated to think about the role of genetics in behavior differently depending on the moral valence of the actions in question. |
X Demographics
The data shown below were collected from the profiles of 40 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 | 4 | 10% |
| United Kingdom | 3 | 8% |
| Russia | 1 | 3% |
| Hong Kong | 1 | 3% |
| Germany | 1 | 3% |
| Sudan | 1 | 3% |
| Korea, Republic of | 1 | 3% |
| Australia | 1 | 3% |
| Ireland | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 25 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 65% |
| Scientists | 12 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 14% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Other | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 18 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 21% |
| Social Sciences | 4 | 9% |
| Philosophy | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Computer Science | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 19 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 16 October 2022.
All research outputs
#1,085,123
of 25,196,456 outputs
Outputs from Behavior Genetics
#49
of 970 outputs
Outputs of similar age
#22,868
of 337,218 outputs
Outputs of similar age from Behavior Genetics
#1
of 12 outputs
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So far Altmetric has tracked 970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 95% of its peers.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.