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 |
CrowdSTAR: A Social Task Routing Framework for Online Communities
|
---|---|
Chapter number | 15 |
Book title |
Engineering the Web in the Big Data Era
|
Published in |
Lecture notes in computer science, June 2015
|
DOI | 10.1007/978-3-319-19890-3_15 |
Book ISBNs |
978-3-31-919889-7, 978-3-31-919890-3
|
Authors |
Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas |
Editors |
Philipp Cimiano, Flavius Frasincar, Geert-Jan Houben, Daniel Schwabe |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 7% |
United States | 1 | 7% |
Ireland | 1 | 7% |
Australia | 1 | 7% |
Unknown | 10 | 71% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 50% |
Student > Master | 2 | 14% |
Student > Bachelor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Researcher | 1 | 7% |
Other | 1 | 7% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 57% |
Business, Management and Accounting | 2 | 14% |
Physics and Astronomy | 1 | 7% |
Engineering | 1 | 7% |
Design | 1 | 7% |
Other | 0 | 0% |
Unknown | 1 | 7% |
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 12 October 2017.
All research outputs
#13,784,610
of 22,884,315 outputs
Outputs from Lecture notes in computer science
#4,131
of 8,127 outputs
Outputs of similar age
#130,985
of 266,637 outputs
Outputs of similar age from Lecture notes in computer science
#57
of 280 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% 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 266,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.