| Title |
A survey of functional principal component analysis
|
|---|---|
| Published in |
AStA Advances in Statistical Analysis, April 2013
|
| DOI | 10.1007/s10182-013-0213-1 |
| Authors |
Han Lin Shang |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 152 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 28% |
| Researcher | 24 | 15% |
| Student > Master | 17 | 11% |
| Student > Bachelor | 10 | 6% |
| Student > Postgraduate | 8 | 5% |
| Other | 23 | 15% |
| Unknown | 31 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 31 | 20% |
| Engineering | 20 | 13% |
| Computer Science | 19 | 12% |
| Economics, Econometrics and Finance | 10 | 6% |
| Social Sciences | 8 | 5% |
| Other | 29 | 18% |
| Unknown | 40 | 25% |
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 29 October 2015.
All research outputs
#7,550,194
of 23,033,713 outputs
Outputs from AStA Advances in Statistical Analysis
#11
of 76 outputs
Outputs of similar age
#66,697
of 200,685 outputs
Outputs of similar age from AStA Advances in Statistical Analysis
#1
of 2 outputs
Altmetric has tracked 23,033,713 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 76 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 71% 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 200,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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