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 |
Computer Algebra in Scientific Computing
|
|---|---|
| Chapter number | 24 |
| Book title |
Computer Algebra in Scientific Computing
|
| Published in |
Lecture notes in computer science, January 2016
|
| DOI | 10.1007/978-3-319-45641-6_24 |
| Book ISBNs |
978-3-31-945640-9, 978-3-31-945641-6
|
| Authors |
Dominik Michels, Dmitry Lyakhov, Vladimir Gerdt, Zahid Hossain, Ingmar Riedel-Kruse, Andreas Weber, Dominik L. Michels, Dmitry A. Lyakhov, Vladimir P. Gerdt, Ingmar H. Riedel-Kruse, Andreas G. Weber |
| Editors |
Vladimir P. Gerdt, Wolfram Koepf, Werner M. Seiler, Evgenii V. Vorozhtsov |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Other | 2 | 15% |
| Researcher | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 54% |
| Computer Science | 2 | 15% |
| Arts and Humanities | 1 | 8% |
| Unknown | 3 | 23% |
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 12 October 2016.
All research outputs
#20,346,264
of 22,893,031 outputs
Outputs from Lecture notes in computer science
#6,993
of 8,129 outputs
Outputs of similar age
#330,792
of 393,734 outputs
Outputs of similar age from Lecture notes in computer science
#502
of 582 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 393,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.