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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Multi-disciplinary Trends in Artificial Intelligence
|
|---|---|
| Chapter number | 9 |
| Book title |
Multi-disciplinary Trends in Artificial Intelligence
|
| Published in |
Lecture notes in computer science, January 2017
|
| DOI | 10.1007/978-3-319-49397-8_9 |
| Book ISBNs |
978-3-31-949396-1, 978-3-31-949397-8
|
| Authors |
Dajian Li, Paul Weng, Orkun Karabasoglu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 22% |
| Unspecified | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Lecturer | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 56% |
| Engineering | 2 | 22% |
| Unspecified | 1 | 11% |
| Unknown | 1 | 11% |
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 04 January 2017.
All research outputs
#17,849,965
of 22,925,760 outputs
Outputs from Lecture notes in computer science
#5,935
of 8,129 outputs
Outputs of similar age
#293,905
of 421,214 outputs
Outputs of similar age from Lecture notes in computer science
#115
of 147 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 26th percentile – i.e., 26% 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 421,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.