Scaling up Learning for Sustained Impact
Springer-Verlag Berlin Heidelberg
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Signal Orchestration System for Face-to-Face Collaborative Learning Flows
|
|---|---|
| Chapter number | 58 |
| Book title |
Scaling up Learning for Sustained Impact
|
| Published in |
Lecture notes in computer science, January 2013
|
| DOI | 10.1007/978-3-642-40814-4_58 |
| Book ISBNs |
978-3-64-240813-7, 978-3-64-240814-4
|
| Authors |
Davinia Hernández-Leo, Raul Nieves, Juan P. Carrascal, Josep Blat, Davinia Hernández-Leo |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 17% |
| Brazil | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 33% |
| Student > Bachelor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Researcher | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 83% |
| Engineering | 1 | 17% |
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 13 September 2013.
All research outputs
#14,633,585
of 22,721,584 outputs
Outputs from Lecture notes in computer science
#4,476
of 8,125 outputs
Outputs of similar age
#173,434
of 280,761 outputs
Outputs of similar age from Lecture notes in computer science
#181
of 314 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% 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 280,761 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% 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 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.