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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A NoSQL Data-Based Personalized Recommendation System for C2C e-Commerce
|
|---|---|
| Chapter number | 25 |
| Book title |
Database and Expert Systems Applications
|
| Published in |
arXiv, August 2017
|
| DOI | 10.1007/978-3-319-64471-4_25 |
| Book ISBNs |
978-3-31-964470-7, 978-3-31-964471-4
|
| Authors |
Tran Khanh Dang, An Khuong Vo, Josef Küng, Khanh Dang, Khuong Vo |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 29% |
| Lecturer | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Researcher | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 57% |
| Business, Management and Accounting | 2 | 10% |
| Arts and Humanities | 1 | 5% |
| Unspecified | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 June 2018.
All research outputs
#14,345,282
of 24,099,692 outputs
Outputs from arXiv
#237,404
of 1,020,419 outputs
Outputs of similar age
#164,221
of 319,907 outputs
Outputs of similar age from arXiv
#5,260
of 20,284 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 74% 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 319,907 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20,284 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 70% of its contemporaries.