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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Social Computing, Behavioral - Cultural Modeling and Prediction
|
|---|---|
| Chapter number | 21 |
| Book title |
Social Computing, Behavioral - Cultural Modeling and Prediction
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-29047-3_21 |
| Book ISBNs |
978-3-64-229046-6, 978-3-64-229047-3
|
| Authors |
Shanchieh Jay Yang, Ariel M. Greenberg, Mica Endsley, Wen Dong, Katherine Heller, Alex Pentland, Alex (Sandy) Pentland, Katherine A. Heller, Alex Sandy Pentland |
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 % |
|---|---|---|
| Italy | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Switzerland | 2 | 3% |
| Portugal | 1 | 1% |
| Finland | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Unknown | 66 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 32% |
| Student > Ph. D. Student | 19 | 25% |
| Student > Master | 11 | 14% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 28% |
| Engineering | 9 | 12% |
| Social Sciences | 8 | 11% |
| Mathematics | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Other | 18 | 24% |
| Unknown | 9 | 12% |
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 15 October 2014.
All research outputs
#20,500,136
of 25,193,883 outputs
Outputs from Lecture notes in computer science
#6,053
of 8,152 outputs
Outputs of similar age
#208,656
of 256,369 outputs
Outputs of similar age from Lecture notes in computer science
#384
of 486 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 13th percentile – i.e., 13% 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 256,369 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 486 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.