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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Omitted Variable Bias of Lasso-Based Inference Methods: A Finite Sample Analysis
|
|---|---|
| Published in |
Review of Economics & Statistics, July 2023
|
| DOI | 10.1162/rest_a_01128 |
| Authors |
Kaspar Wüthrich, Ying Zhu |
X Demographics
The data shown below were collected from the profiles of 63 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 | 19 | 30% |
| Australia | 3 | 5% |
| Mexico | 3 | 5% |
| France | 3 | 5% |
| Colombia | 1 | 2% |
| Pakistan | 1 | 2% |
| Turkey | 1 | 2% |
| Kenya | 1 | 2% |
| Germany | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 24 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 63% |
| Scientists | 21 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 3 | 14% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 10 | 45% |
| Mathematics | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 9 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 20 August 2023.
All research outputs
#1,061,292
of 25,918,104 outputs
Outputs from Review of Economics & Statistics
#319
of 3,034 outputs
Outputs of similar age
#19,929
of 367,145 outputs
Outputs of similar age from Review of Economics & Statistics
#7
of 49 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,034 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done well, scoring higher than 89% 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 367,145 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 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.