| Title |
Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing
|
|---|---|
| Published in |
Journal of the Academy of Marketing Science, February 2015
|
| DOI | 10.1007/s11747-015-0426-9 |
| Authors |
V. Kumar, Ashutosh Dixit, Rajshekar (Raj) G. Javalgi, Mayukh Dass |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Italy | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 480 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| New Zealand | 1 | <1% |
| United Arab Emirates | 1 | <1% |
| France | 1 | <1% |
| Unknown | 475 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 15% |
| Student > Master | 54 | 11% |
| Student > Doctoral Student | 42 | 9% |
| Student > Bachelor | 38 | 8% |
| Researcher | 22 | 5% |
| Other | 90 | 19% |
| Unknown | 163 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 190 | 40% |
| Computer Science | 28 | 6% |
| Economics, Econometrics and Finance | 25 | 5% |
| Social Sciences | 21 | 4% |
| Engineering | 11 | 2% |
| Other | 27 | 6% |
| Unknown | 178 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 August 2022.
All research outputs
#1,969,495
of 23,103,436 outputs
Outputs from Journal of the Academy of Marketing Science
#85
of 746 outputs
Outputs of similar age
#26,020
of 255,272 outputs
Outputs of similar age from Journal of the Academy of Marketing Science
#2
of 13 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 746 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 88% 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 255,272 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 89% 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 well, scoring higher than 84% of its contemporaries.