| Title |
Fitting autoregressive models for prediction
|
|---|---|
| Published in |
Annals of the Institute of Statistical Mathematics, December 1969
|
| DOI | 10.1007/bf02532251 |
| Authors |
Hirotugu Akaike |
Mendeley readers
The data shown below were compiled from readership statistics for 441 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 1% |
| United States | 5 | 1% |
| Germany | 4 | <1% |
| Brazil | 4 | <1% |
| Denmark | 3 | <1% |
| France | 3 | <1% |
| Spain | 2 | <1% |
| Belgium | 2 | <1% |
| Australia | 1 | <1% |
| Other | 10 | 2% |
| Unknown | 401 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 114 | 26% |
| Student > Master | 64 | 15% |
| Researcher | 58 | 13% |
| Student > Bachelor | 33 | 7% |
| Student > Doctoral Student | 18 | 4% |
| Other | 74 | 17% |
| Unknown | 80 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 93 | 21% |
| Computer Science | 50 | 11% |
| Mathematics | 35 | 8% |
| Economics, Econometrics and Finance | 32 | 7% |
| Business, Management and Accounting | 27 | 6% |
| Other | 105 | 24% |
| Unknown | 99 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 22 September 2021.
All research outputs
#2,295,488
of 22,914,829 outputs
Outputs from Annals of the Institute of Statistical Mathematics
#2
of 110 outputs
Outputs of similar age
#326
of 6,176 outputs
Outputs of similar age from Annals of the Institute of Statistical Mathematics
#1
of 2 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 110 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 98% 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 6,176 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 94% of its contemporaries.
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