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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Social Computing, Behavioral-Cultural Modeling, and Prediction
|
|---|---|
| Published by |
Lecture notes in computer science, January 2015
|
| DOI | 10.1007/978-3-319-16268-3 |
| ISBNs |
978-3-31-916267-6, 978-3-31-916268-3
|
| Authors |
Nitin Agarwal, Kevin Xu, Nathaniel Osgood |
| Editors |
Agarwal, Nitin, Xu, Kevin, Osgood, Nathaniel |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 24% |
| United Kingdom | 2 | 7% |
| Switzerland | 2 | 7% |
| Germany | 1 | 3% |
| Cameroon | 1 | 3% |
| Australia | 1 | 3% |
| Colombia | 1 | 3% |
| Argentina | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 66% |
| Scientists | 6 | 21% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Student > Master | 10 | 17% |
| Student > Bachelor | 7 | 12% |
| Researcher | 4 | 7% |
| Lecturer | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 29% |
| Social Sciences | 6 | 10% |
| Engineering | 5 | 9% |
| Business, Management and Accounting | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 09 February 2020.
All research outputs
#1,063,795
of 25,770,491 outputs
Outputs from Lecture notes in computer science
#119
of 8,170 outputs
Outputs of similar age
#13,528
of 361,769 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 257 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,170 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% 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 361,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.