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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments
|
|---|---|
| Published in |
Journal of the American Statistical Association, November 2018
|
| DOI | 10.1080/01621459.2018.1498346 |
| Pubmed ID | |
| Authors |
Frank Windmeijer, Helmut Farbmacher, Neil Davies, George Davey Smith |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
| United Kingdom | 5 | 15% |
| Chile | 1 | 3% |
| Peru | 1 | 3% |
| Senegal | 1 | 3% |
| Argentina | 1 | 3% |
| Unknown | 15 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 55% |
| Scientists | 15 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 22% |
| Researcher | 15 | 15% |
| Student > Master | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 27 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 22 | 22% |
| Mathematics | 16 | 16% |
| Computer Science | 5 | 5% |
| Medicine and Dentistry | 5 | 5% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 13 | 13% |
| Unknown | 34 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 04 April 2022.
All research outputs
#1,980,029
of 26,017,215 outputs
Outputs from Journal of the American Statistical Association
#176
of 3,062 outputs
Outputs of similar age
#39,911
of 359,156 outputs
Outputs of similar age from Journal of the American Statistical Association
#2
of 19 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 94% 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 359,156 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 88% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.