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 |
Tracing Self-Regulated Learning in Responsive Open Learning Environments
|
|---|---|
| Chapter number | 14 |
| Book title |
Advances in Web-Based Learning – ICWL 2015
|
| Published in |
Lecture notes in computer science, November 2015
|
| DOI | 10.1007/978-3-319-25515-6_14 |
| Book ISBNs |
978-3-31-925514-9, 978-3-31-925515-6
|
| Authors |
Dominik Renzel, Ralf Klamma, Milos Kravcik, Alexander Nussbaumer |
| Editors |
Frederick W. B. Li, Ralf Klamma, Mart Laanpere, Jun Zhang, Baltasar Fernández Manjón, Rynson W. H. Lau |
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 % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 30% |
| Researcher | 3 | 15% |
| Student > Doctoral Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 40% |
| Arts and Humanities | 3 | 15% |
| Unspecified | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 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 03 May 2020.
All research outputs
#12,819,426
of 22,830,751 outputs
Outputs from Lecture notes in computer science
#3,722
of 8,126 outputs
Outputs of similar age
#125,505
of 285,883 outputs
Outputs of similar age from Lecture notes in computer science
#93
of 193 outputs
Altmetric has tracked 22,830,751 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 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 53% 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 285,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 193 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 50% of its contemporaries.