The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Item Listing Optimization for E-Commerce Websites Based on Diversity
|
|---|---|
| Published in |
arXiv, July 2019
|
| DOI | 10.3389/fcomp.2019.00002 |
| Authors |
Naoki Nishimura, Kotaro Tanahashi, Koji Suganuma, Masamichi J. Miyama, Masayuki Ohzeki |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 7 | 26% |
| Switzerland | 1 | 4% |
| Namibia | 1 | 4% |
| Unknown | 18 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 89% |
| Scientists | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 6 | 14% |
| Other | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 13 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 19% |
| Physics and Astronomy | 8 | 19% |
| Engineering | 6 | 14% |
| Business, Management and Accounting | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 16 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 November 2022.
All research outputs
#2,104,552
of 24,820,264 outputs
Outputs from arXiv
#34,787
of 1,008,159 outputs
Outputs of similar age
#43,623
of 351,606 outputs
Outputs of similar age from arXiv
#964
of 26,106 outputs
Altmetric has tracked 24,820,264 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 1,008,159 research outputs from this source. They receive a mean Attention Score of 4.1. 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 351,606 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 26,106 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.