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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Solving the apparent diversity-accuracy dilemma of recommender systems
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, February 2010
|
| DOI | 10.1073/pnas.1000488107 |
| Pubmed ID | |
| Authors |
Tao Zhou, Zoltán Kuscsik, Jian-Guo Liu, Matúš Medo, Joseph Rushton Wakeling, Yi-Cheng Zhang |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 542 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| Brazil | 8 | 1% |
| China | 6 | 1% |
| United Kingdom | 5 | <1% |
| Spain | 4 | <1% |
| Germany | 3 | <1% |
| Canada | 3 | <1% |
| Austria | 2 | <1% |
| Netherlands | 2 | <1% |
| Other | 12 | 2% |
| Unknown | 485 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 136 | 25% |
| Student > Master | 111 | 20% |
| Researcher | 60 | 11% |
| Student > Bachelor | 42 | 8% |
| Professor > Associate Professor | 31 | 6% |
| Other | 95 | 18% |
| Unknown | 67 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 288 | 53% |
| Engineering | 34 | 6% |
| Business, Management and Accounting | 28 | 5% |
| Physics and Astronomy | 27 | 5% |
| Social Sciences | 18 | 3% |
| Other | 65 | 12% |
| Unknown | 82 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 15 May 2020.
All research outputs
#2,561,343
of 25,998,826 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#29,332
of 104,359 outputs
Outputs of similar age
#9,721
of 107,356 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#193
of 755 outputs
Altmetric has tracked 25,998,826 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 104,359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has gotten more attention than average, scoring higher than 71% 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 107,356 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 90% of its contemporaries.
We're also able to compare this research output to 755 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.