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 |
A User-Friendly Hybrid Sparse Matrix Class in C++
|
|---|---|
| Chapter number | 50 |
| Book title |
Mathematical Software – ICMS 2018
|
| Published in |
arXiv, July 2018
|
| DOI | 10.1007/978-3-319-96418-8_50 |
| Book ISBNs |
978-3-31-996417-1, 978-3-31-996418-8
|
| Authors |
Conrad Sanderson, Ryan Curtin, Sanderson, Conrad, Curtin, Ryan |
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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 37% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Researcher | 7 | 10% |
| Other | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 11 | 15% |
| Engineering | 11 | 15% |
| Computer Science | 10 | 14% |
| Economics, Econometrics and Finance | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 14 | 20% |
| Unknown | 21 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 January 2019.
All research outputs
#7,480,508
of 26,017,215 outputs
Outputs from arXiv
#123,786
of 938,014 outputs
Outputs of similar age
#117,910
of 344,331 outputs
Outputs of similar age from arXiv
#3,232
of 18,460 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 938,014 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 344,331 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 18,460 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.