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 |
Embedded Probabilistic Programming
|
|---|---|
| Chapter number | 17 |
| Book title |
Domain-Specific Languages
|
| Published in |
Lecture notes in computer science, February 2016
|
| DOI | 10.1007/978-3-642-03034-5_17 |
| Book ISBNs |
978-3-64-203033-8, 978-3-64-203034-5
|
| Authors |
Oleg Kiselyov, Chung-chieh Shan, Kiselyov, Oleg, Shan, Chung-chieh |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 10% |
| Denmark | 2 | 3% |
| Belgium | 1 | 2% |
| Switzerland | 1 | 2% |
| Japan | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 50 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 34% |
| Researcher | 13 | 21% |
| Other | 11 | 18% |
| Student > Bachelor | 5 | 8% |
| Professor | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 46 | 74% |
| Agricultural and Biological Sciences | 3 | 5% |
| Mathematics | 2 | 3% |
| Economics, Econometrics and Finance | 2 | 3% |
| Linguistics | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 6 | 10% |
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 11 February 2015.
All research outputs
#15,322,159
of 22,789,076 outputs
Outputs from Lecture notes in computer science
#4,647
of 8,127 outputs
Outputs of similar age
#233,469
of 396,815 outputs
Outputs of similar age from Lecture notes in computer science
#350
of 523 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 27th percentile – i.e., 27% 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 396,815 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 523 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.