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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
From Big Data to Big Data Mining: Challenges, Issues, and Opportunities
|
|---|---|
| Chapter number | 1 |
| Book title |
Database Systems for Advanced Applications
|
| Published in |
Lecture notes in computer science, January 2013
|
| DOI | 10.1007/978-3-642-40270-8_1 |
| Book ISBNs |
978-3-64-240269-2, 978-3-64-240270-8
|
| Authors |
Dunren Che, Mejdl Safran, Zhiyong Peng |
| Editors |
Bonghee Hong, Xiaofeng Meng, Lei Chen, Werner Winiwarter, Wei Song |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 50% |
| Italy | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 362 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 1% |
| India | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 355 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 72 | 20% |
| Student > Ph. D. Student | 62 | 17% |
| Student > Bachelor | 44 | 12% |
| Researcher | 19 | 5% |
| Professor > Associate Professor | 19 | 5% |
| Other | 69 | 19% |
| Unknown | 77 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 157 | 43% |
| Business, Management and Accounting | 34 | 9% |
| Engineering | 28 | 8% |
| Social Sciences | 10 | 3% |
| Economics, Econometrics and Finance | 8 | 2% |
| Other | 39 | 11% |
| Unknown | 86 | 24% |
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 28 July 2016.
All research outputs
#13,895,518
of 22,719,618 outputs
Outputs from Lecture notes in computer science
#4,264
of 8,124 outputs
Outputs of similar age
#164,407
of 280,757 outputs
Outputs of similar age from Lecture notes in computer science
#166
of 314 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 280,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.