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 |
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
|
|---|---|
| Chapter number | 6 |
| Book title |
Machine Learning and Knowledge Discovery in Databases
|
| Published in |
Lecture notes in computer science, September 2014
|
| DOI | 10.1007/978-3-662-44845-8_6 |
| Book ISBNs |
978-3-66-244844-1, 978-3-66-244845-8
|
| Authors |
Shalem, Bar, Bachrach, Yoram, Guiver, John, Bishop, Christopher M., Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop |
| Editors |
Calders, Toon, Meo, Rosa, Hüllermeier, Eyke, Esposito, Floriana |
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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Student > Bachelor | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 47% |
| Mathematics | 2 | 13% |
| Social Sciences | 2 | 13% |
| Unspecified | 1 | 7% |
| Chemistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
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 19 November 2014.
All research outputs
#18,384,336
of 22,771,140 outputs
Outputs from Lecture notes in computer science
#6,005
of 8,123 outputs
Outputs of similar age
#175,835
of 246,441 outputs
Outputs of similar age from Lecture notes in computer science
#170
of 232 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 14th percentile – i.e., 14% 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 246,441 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.