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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical inference in vector autoregressions with possibly integrated processes
|
|---|---|
| Published in |
Journal of Econometrics, March 1995
|
| DOI | 10.1016/0304-4076(94)01616-8 |
| Authors |
Hiro Y. Toda, Taku Yamamoto |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 907 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| United States | 2 | <1% |
| Japan | 2 | <1% |
| Mexico | 2 | <1% |
| South Africa | 2 | <1% |
| Norway | 1 | <1% |
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| India | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 887 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 193 | 21% |
| Student > Master | 131 | 14% |
| Researcher | 80 | 9% |
| Student > Doctoral Student | 62 | 7% |
| Professor > Associate Professor | 46 | 5% |
| Other | 172 | 19% |
| Unknown | 223 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 383 | 42% |
| Business, Management and Accounting | 87 | 10% |
| Social Sciences | 42 | 5% |
| Engineering | 21 | 2% |
| Computer Science | 19 | 2% |
| Other | 95 | 10% |
| Unknown | 260 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 March 2023.
All research outputs
#1,568,593
of 25,769,258 outputs
Outputs from Journal of Econometrics
#83
of 2,865 outputs
Outputs of similar age
#389
of 23,568 outputs
Outputs of similar age from Journal of Econometrics
#1
of 3 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,865 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 97% 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 23,568 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 98% of its contemporaries.
We're also able to compare this research output to 3 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