| Title |
Applications of functional data analysis: A systematic review
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2013
|
| DOI | 10.1186/1471-2288-13-43 |
| Pubmed ID | |
| Authors |
Shahid Ullah, Caroline F Finch |
| Abstract |
Functional data analysis (FDA) is increasingly being used to better analyze, model and predict time series data. Key aspects of FDA include the choice of smoothing technique, data reduction, adjustment for clustering, functional linear modeling and forecasting methods. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 15% |
| Japan | 2 | 8% |
| Ireland | 2 | 8% |
| Canada | 2 | 8% |
| United States | 1 | 4% |
| Belgium | 1 | 4% |
| Australia | 1 | 4% |
| India | 1 | 4% |
| Unknown | 12 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 46% |
| Scientists | 12 | 46% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 361 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 1% |
| Australia | 2 | <1% |
| United States | 2 | <1% |
| Canada | 1 | <1% |
| Italy | 1 | <1% |
| Japan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 348 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 21% |
| Researcher | 56 | 16% |
| Student > Master | 42 | 12% |
| Student > Doctoral Student | 25 | 7% |
| Student > Bachelor | 22 | 6% |
| Other | 59 | 16% |
| Unknown | 80 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 53 | 15% |
| Engineering | 48 | 13% |
| Computer Science | 30 | 8% |
| Medicine and Dentistry | 27 | 7% |
| Agricultural and Biological Sciences | 22 | 6% |
| Other | 87 | 24% |
| Unknown | 94 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 08 October 2023.
All research outputs
#1,650,307
of 25,651,057 outputs
Outputs from BMC Medical Research Methodology
#198
of 2,304 outputs
Outputs of similar age
#12,709
of 210,905 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 32 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 91% 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 210,905 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.