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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Machine Learning Approach to Predicting Winning Patterns in Track Cycling Omnium
|
|---|---|
| Chapter number | 7 |
| Book title |
Artificial Intelligence in Theory and Practice III
|
| Published in |
IFIP Advances in Information and Communication Technology, January 2010
|
| DOI | 10.1007/978-3-642-15286-3_7 |
| Book ISBNs |
978-3-64-215285-6, 978-3-64-215286-3
|
| Authors |
Ofoghi, Bahadorreza, Zeleznikow, John, MacMahon, Clare, Dwyer, Dan, Bahadorreza Ofoghi, John Zeleznikow, Clare MacMahon, Dan Dwyer |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 40% |
| Finland | 1 | 20% |
| France | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 15% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Other | 3 | 9% |
| Researcher | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 11 | 33% |
| Computer Science | 5 | 15% |
| Engineering | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Arts and Humanities | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 May 2019.
All research outputs
#14,658,467
of 25,992,468 outputs
Outputs from IFIP Advances in Information and Communication Technology
#1
of 1 outputs
Outputs of similar age
#140,744
of 176,164 outputs
Outputs of similar age from IFIP Advances in Information and Communication Technology
#7
of 8 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.8. This one scored the same or higher as 0 of them.
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 176,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.