| Title |
A model of a trust-based recommendation system on a social network
|
|---|---|
| Published in |
Autonomous Agents and Multi-Agent Systems, October 2007
|
| DOI | 10.1007/s10458-007-9021-x |
| Authors |
Frank Edward Walter, Stefano Battiston, Frank Schweitzer |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| Netherlands | 4 | 1% |
| Australia | 4 | 1% |
| Korea, Republic of | 3 | <1% |
| Switzerland | 3 | <1% |
| Spain | 3 | <1% |
| Malaysia | 2 | <1% |
| United Kingdom | 2 | <1% |
| Brazil | 2 | <1% |
| Other | 16 | 5% |
| Unknown | 283 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 102 | 31% |
| Student > Master | 77 | 23% |
| Researcher | 36 | 11% |
| Student > Postgraduate | 21 | 6% |
| Student > Doctoral Student | 14 | 4% |
| Other | 45 | 14% |
| Unknown | 35 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 178 | 54% |
| Business, Management and Accounting | 29 | 9% |
| Engineering | 24 | 7% |
| Social Sciences | 16 | 5% |
| Physics and Astronomy | 9 | 3% |
| Other | 30 | 9% |
| Unknown | 44 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 February 2023.
All research outputs
#3,884,075
of 23,849,058 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#9
of 246 outputs
Outputs of similar age
#11,397
of 77,038 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#1
of 1 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 246 research outputs from this source. They receive a mean Attention Score of 2.6. 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 77,038 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 85% of its contemporaries.
We're also able to compare this research output to 1 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