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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ardl: Estimating autoregressive distributed lag and equilibrium correction models
|
|---|---|
| Published in |
The Stata Journal, December 2023
|
| DOI | 10.1177/1536867x231212434 |
| Authors |
Sebastian Kripfganz, Daniel C. Schneider |
X Demographics
The data shown below were collected from the profiles of 11 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 States | 2 | 18% |
| Pakistan | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 13% |
| Student > Ph. D. Student | 20 | 12% |
| Lecturer | 12 | 7% |
| Student > Doctoral Student | 11 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 25 | 15% |
| Unknown | 66 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 62 | 38% |
| Social Sciences | 9 | 5% |
| Unspecified | 8 | 5% |
| Business, Management and Accounting | 7 | 4% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 9 | 5% |
| Unknown | 67 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 09 January 2024.
All research outputs
#5,369,682
of 25,663,438 outputs
Outputs from The Stata Journal
#88
of 394 outputs
Outputs of similar age
#79,945
of 353,434 outputs
Outputs of similar age from The Stata Journal
#2
of 4 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 394 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 77% 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 353,434 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.