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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Interoperability in the OpenDreamKit Project: The Math-in-the-Middle Approach
|
|---|---|
| Chapter number | 9 |
| Book title |
Intelligent Computer Mathematics
|
| Published in |
arXiv, July 2016
|
| DOI | 10.1007/978-3-319-42547-4_9 |
| Book ISBNs |
978-3-31-942546-7, 978-3-31-942547-4, 978-3-31-942546-7, 978-3-31-942547-4
|
| Authors |
Paul-Olivier Dehaye, Mihnea Iancu, Michael Kohlhase, Alexander Konovalov, Samuel Lelièvre, Dennis Müller, Markus Pfeiffer, Florian Rabe, Nicolas M. Thiéry, Tom Wiesing |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 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 % |
|---|---|---|
| United Kingdom | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 31% |
| Student > Master | 3 | 23% |
| Professor | 1 | 8% |
| Other | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 38% |
| Social Sciences | 2 | 15% |
| Mathematics | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 4 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2022.
All research outputs
#14,560,077
of 23,317,888 outputs
Outputs from arXiv
#289,786
of 960,192 outputs
Outputs of similar age
#216,938
of 367,283 outputs
Outputs of similar age from arXiv
#3,993
of 15,303 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 960,192 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 367,283 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15,303 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.