| Title |
Smoking and raven IQ
|
|---|---|
| Published in |
Psychopharmacology, November 1994
|
| DOI | 10.1007/bf02245346 |
| Pubmed ID | |
| Authors |
Con Stough, Gordon Mangan, Tim Bates, O. Pellett |
| Abstract |
Nicotine has recently been shown to enhance measures of information processing speed including the decision time (DT) component of simple and choice reaction time and the string length measure of evoked potential waveform complexity. Both (DT and string length) have been previously demonstrated to correlate with performance on standard intelligence tests (IQ). We therefore hypothesised that nicotine is acting to improve intellectual performance on the elementary information processing correlates of IQ. In the current experiment we tested this hypothesis using the Raven Advanced Progressive Matrices (APM) test. APM scores were significantly higher in the smoking session compared to the non-smoking session, suggesting that nicotine acts to enhance physiological processes underlying performance on intellectual tasks. |
X Demographics
The data shown below were collected from the profiles of 34 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 | 9 | 26% |
| United Kingdom | 3 | 9% |
| Canada | 1 | 3% |
| Unknown | 21 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 88% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
| Scientists | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 25% |
| Researcher | 3 | 25% |
| Other | 1 | 8% |
| Lecturer | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 42% |
| Medicine and Dentistry | 2 | 17% |
| Computer Science | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Social Sciences | 1 | 8% |
| Other | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 19 December 2023.
All research outputs
#1,533,272
of 25,959,914 outputs
Outputs from Psychopharmacology
#366
of 5,427 outputs
Outputs of similar age
#318
of 21,275 outputs
Outputs of similar age from Psychopharmacology
#1
of 13 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done particularly well, scoring higher than 93% 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 21,275 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 13 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 92% of its contemporaries.