| Title |
An efficient algorithm for accelerating the convergence of oscillatory series, useful for computing the polylogarithm and Hurwitz zeta functions
|
|---|---|
| Published in |
Numerical Algorithms, March 2008
|
| DOI | 10.1007/s11075-007-9153-8 |
| Authors |
Linas Vepštas |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 8% |
| Unknown | 22 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Professor > Associate Professor | 2 | 8% |
| Professor | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 8 | 33% |
| Computer Science | 3 | 13% |
| Physics and Astronomy | 2 | 8% |
| Earth and Planetary Sciences | 2 | 8% |
| Engineering | 2 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 January 2023.
All research outputs
#7,770,709
of 25,378,284 outputs
Outputs from Numerical Algorithms
#19
of 165 outputs
Outputs of similar age
#32,080
of 95,669 outputs
Outputs of similar age from Numerical Algorithms
#2
of 4 outputs
Altmetric has tracked 25,378,284 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 165 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 89% 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 95,669 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 66% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.