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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Performance Analysis of Effective Methods for Solving Band Matrix SLAEs After Parabolic Nonlinear PDEs
|
|---|---|
| Chapter number | 33 |
| Book title |
Advanced Computing in Industrial Mathematics
|
| Published in |
arXiv, December 2017
|
| DOI | 10.1007/978-3-319-97277-0_33 |
| Book ISBNs |
978-3-31-997276-3, 978-3-31-997277-0
|
| Authors |
Milena Veneva, Alexander Ayriyan, Veneva, Milena, Ayriyan, Alexander |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 50% |
| Lecturer | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 50% |
| Physics and Astronomy | 1 | 50% |
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 26 April 2018.
All research outputs
#16,069,695
of 23,852,579 outputs
Outputs from arXiv
#392,273
of 990,619 outputs
Outputs of similar age
#273,548
of 445,055 outputs
Outputs of similar age from arXiv
#10,824
of 21,276 outputs
Altmetric has tracked 23,852,579 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 990,619 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 53% 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 445,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21,276 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.