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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Context and Interference Effects in the Combinations of Natural Concepts
|
|---|---|
| Chapter number | 54 |
| Book title |
Modeling and Using Context
|
| Published in |
arXiv, June 2017
|
| DOI | 10.1007/978-3-319-57837-8_54 |
| Book ISBNs |
978-3-31-957836-1, 978-3-31-957837-8
|
| Authors |
Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran, Lyneth Beltran, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz, Jonito Aerts, Isaac Distrito, Aerts, Diederik, Aerts, Jonito, Beltran, Lester, Distrito, Isaac, de Bianchi, Massimiliano Sassoli, Sozzo, Sandro, Veloz, Tomas |
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 30% |
| Professor | 2 | 20% |
| Student > Doctoral Student | 1 | 10% |
| Lecturer | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 10% |
| Economics, Econometrics and Finance | 1 | 10% |
| Physics and Astronomy | 1 | 10% |
| Decision Sciences | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 4 | 40% |
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 20 December 2016.
All research outputs
#17,837,681
of 22,914,829 outputs
Outputs from arXiv
#441,216
of 941,327 outputs
Outputs of similar age
#226,284
of 316,382 outputs
Outputs of similar age from arXiv
#11,293
of 18,872 outputs
Altmetric has tracked 22,914,829 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 941,327 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% 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 316,382 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18,872 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.