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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stereotype threat increases the likelihood that female drivers in a simulator run over jaywalkers
|
|---|---|
| Published in |
Accident Analysis & Prevention, October 2007
|
| DOI | 10.1016/j.aap.2007.09.003 |
| Pubmed ID | |
| Authors |
Nai Chi Jonathan Yeung, Courtney von Hippel |
| Abstract |
Stereotype threat, or the belief that one may be the target of demeaning stereotypes, leads to performance disruptions in a variety of domains. Two experiments conducted in a driving simulator demonstrate that stereotype threat also disrupts control of an automobile. Women who were reminded of the stereotype that females are poor drivers were more than twice as likely to collide with jaywalking pedestrians than women who were not reminded of this stereotype. Experiment 2 also revealed that the magnitude of this effect was equivalent to that produced by a secondary task, suggesting that stereotype threat might diminish driving performance via a disruptive mental load. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Spain | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Unknown | 161 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 19% |
| Student > Bachelor | 27 | 16% |
| Student > Master | 23 | 14% |
| Researcher | 22 | 13% |
| Student > Doctoral Student | 12 | 7% |
| Other | 20 | 12% |
| Unknown | 32 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 66 | 39% |
| Engineering | 20 | 12% |
| Social Sciences | 15 | 9% |
| Medicine and Dentistry | 6 | 4% |
| Business, Management and Accounting | 5 | 3% |
| Other | 23 | 14% |
| Unknown | 33 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 18 April 2020.
All research outputs
#916,890
of 25,373,627 outputs
Outputs from Accident Analysis & Prevention
#158
of 4,178 outputs
Outputs of similar age
#1,520
of 84,450 outputs
Outputs of similar age from Accident Analysis & Prevention
#2
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 96% 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 84,450 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 98% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.