| Title |
Customer Experience Management for Smart Commerce Based on Cognitive Maps
|
|---|---|
| Published in |
Annals of Data Science, March 2016
|
| DOI | 10.1007/s40745-016-0073-0 |
| Authors |
Mikhail Komarov, Zinaida Avdeeva |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 23% |
| United Kingdom | 2 | 9% |
| United States | 1 | 5% |
| France | 1 | 5% |
| India | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 18% |
| Student > Doctoral Student | 2 | 12% |
| Student > Master | 2 | 12% |
| Student > Postgraduate | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 5 | 29% |
| Computer Science | 4 | 24% |
| Decision Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 07 December 2016.
All research outputs
#2,135,127
of 22,901,818 outputs
Outputs from Annals of Data Science
#5
of 45 outputs
Outputs of similar age
#36,510
of 299,588 outputs
Outputs of similar age from Annals of Data Science
#1
of 3 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 45 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one scored the same or higher as 40 of them.
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 299,588 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 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them