| Title |
Predicting Advertising success beyond Traditional Measures: New Insights from Neurophysiological Methods and Market Response Modeling
|
|---|---|
| Published in |
Journal of Marketing Research, August 2015
|
| DOI | 10.1509/jmr.13.0593 |
| Authors |
Vinod Venkatraman, Angelika Dimoka, Paul A. Pavlou, Khoi Vo, William Hampton, Bryan Bollinger, Hal E. Hershfield, Masakazu Ishihara, Russell S. Winer |
X Demographics
The data shown below were collected from the profiles of 24 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 Kingdom | 5 | 21% |
| United States | 4 | 17% |
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| Spain | 1 | 4% |
| Unknown | 12 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 67% |
| Scientists | 7 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 673 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Germany | 2 | <1% |
| Denmark | 2 | <1% |
| Spain | 2 | <1% |
| United Kingdom | 1 | <1% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Unknown | 660 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 123 | 18% |
| Student > Master | 118 | 18% |
| Student > Bachelor | 64 | 10% |
| Researcher | 58 | 9% |
| Student > Doctoral Student | 49 | 7% |
| Other | 110 | 16% |
| Unknown | 151 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 181 | 27% |
| Psychology | 89 | 13% |
| Neuroscience | 44 | 7% |
| Social Sciences | 41 | 6% |
| Economics, Econometrics and Finance | 25 | 4% |
| Other | 115 | 17% |
| Unknown | 178 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 98. 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 2024.
All research outputs
#440,095
of 25,834,578 outputs
Outputs from Journal of Marketing Research
#48
of 1,345 outputs
Outputs of similar age
#4,824
of 277,296 outputs
Outputs of similar age from Journal of Marketing Research
#2
of 8 outputs
Altmetric has tracked 25,834,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. 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 277,296 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.