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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Time Leap Challenge for SAT-Solving
|
|---|---|
| Chapter number | 16 |
| Book title |
Principles and Practice of Constraint Programming
|
| Published in |
Lecture notes in computer science, September 2020
|
| DOI | 10.1007/978-3-030-58475-7_16 |
| Book ISBNs |
978-3-03-058474-0, 978-3-03-058475-7
|
| Authors |
Johannes K. Fichte, Markus Hecher, Stefan Szeider, Fichte, Johannes K., Hecher, Markus, Szeider, Stefan |
X Demographics
The data shown below were collected from the profiles of 172 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 | 17 | 10% |
| France | 14 | 8% |
| Germany | 10 | 6% |
| Austria | 8 | 5% |
| United Kingdom | 8 | 5% |
| Japan | 5 | 3% |
| Spain | 5 | 3% |
| Canada | 4 | 2% |
| Czechia | 4 | 2% |
| Other | 23 | 13% |
| Unknown | 74 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 127 | 74% |
| Scientists | 43 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 15% |
| Researcher | 2 | 15% |
| Student > Master | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 54% |
| Engineering | 2 | 15% |
| Physics and Astronomy | 1 | 8% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 127. 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 03 November 2022.
All research outputs
#336,207
of 25,872,466 outputs
Outputs from Lecture notes in computer science
#30
of 8,174 outputs
Outputs of similar age
#10,173
of 427,467 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 12 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,174 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 99% 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 427,467 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 97% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.