| Title |
Adaptive personalization using social networks
|
|---|---|
| Published in |
Journal of the Academy of Marketing Science, May 2015
|
| DOI | 10.1007/s11747-015-0441-x |
| Authors |
Tuck Siong Chung, Michel Wedel, Roland T. Rust |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Malaysia | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 356 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 16% |
| Student > Master | 55 | 15% |
| Student > Bachelor | 34 | 9% |
| Student > Doctoral Student | 29 | 8% |
| Researcher | 19 | 5% |
| Other | 54 | 15% |
| Unknown | 110 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 133 | 37% |
| Social Sciences | 27 | 8% |
| Economics, Econometrics and Finance | 18 | 5% |
| Computer Science | 14 | 4% |
| Psychology | 10 | 3% |
| Other | 34 | 9% |
| Unknown | 124 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 04 November 2020.
All research outputs
#2,564,486
of 22,805,349 outputs
Outputs from Journal of the Academy of Marketing Science
#117
of 738 outputs
Outputs of similar age
#34,424
of 264,341 outputs
Outputs of similar age from Journal of the Academy of Marketing Science
#2
of 11 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 738 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. 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 264,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.