| Title |
Computing the Matrix Mittag-Leffler Function with Applications to Fractional Calculus
|
|---|---|
| Published in |
Journal of Scientific Computing, March 2018
|
| DOI | 10.1007/s10915-018-0699-5 |
| Authors |
Roberto Garrappa, Marina Popolizio |
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 | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Researcher | 3 | 12% |
| Professor > Associate Professor | 2 | 8% |
| Professor | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 6 | 23% |
| Engineering | 6 | 23% |
| Physics and Astronomy | 1 | 4% |
| Chemistry | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 42% |
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 20 April 2018.
All research outputs
#14,615,513
of 23,852,579 outputs
Outputs from Journal of Scientific Computing
#66
of 862 outputs
Outputs of similar age
#184,906
of 334,491 outputs
Outputs of similar age from Journal of Scientific Computing
#1
of 10 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 862 research outputs from this source. They receive a mean Attention Score of 0.7. This one has done particularly well, scoring higher than 92% 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 334,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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