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
| Chapter title |
Algorithmic Trading Strategy Optimization Based on Mutual Information Entropy Based Clustering
|
|---|---|
| Chapter number | 26 |
| Book title |
Advances in Computation and Intelligence
|
| Published in |
Lecture notes in computer science, January 2010
|
| DOI | 10.1007/978-3-642-16493-4_26 |
| Book ISBNs |
978-3-64-216492-7, 978-3-64-216493-4
|
| Authors |
Feng Wang, Keren Dong, Xiaotie Deng, Wang, Feng, Dong, Keren, Deng, Xiaotie |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 5% |
| Japan | 1 | 5% |
| United Kingdom | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 15 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 21% |
| Student > Doctoral Student | 3 | 16% |
| Student > Bachelor | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Other | 2 | 11% |
| Other | 3 | 16% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 21% |
| Business, Management and Accounting | 4 | 21% |
| Computer Science | 4 | 21% |
| Engineering | 2 | 11% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from Lecture notes in computer science
#4,644
of 8,123 outputs
Outputs of similar age
#133,982
of 163,463 outputs
Outputs of similar age from Lecture notes in computer science
#98
of 189 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 163,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.