| Title |
Solving Differential-Algebraic Equations by Taylor Series (I): Computing Taylor Coefficients
|
|---|---|
| Published in |
BIT Numerical Mathematics, September 2005
|
| DOI | 10.1007/s10543-005-0019-y |
| Authors |
Nedialko S. Nedialkov, John D. Pryce |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 5% |
| Iran, Islamic Republic of | 1 | 3% |
| Canada | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 33 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Student > Ph. D. Student | 12 | 32% |
| Student > Master | 7 | 18% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 34% |
| Mathematics | 9 | 24% |
| Computer Science | 7 | 18% |
| Chemical Engineering | 2 | 5% |
| Earth and Planetary Sciences | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 2 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 August 2022.
All research outputs
#7,916,538
of 23,854,458 outputs
Outputs from BIT Numerical Mathematics
#26
of 202 outputs
Outputs of similar age
#21,213
of 59,753 outputs
Outputs of similar age from BIT Numerical Mathematics
#1
of 1 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 202 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 30th percentile – i.e., 30% 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 59,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them