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Mendeley readers
Attention Score in Context
| Title |
A finite sample correction for the variance of linear efficient two-step GMM estimators
|
|---|---|
| Published in |
Journal of Econometrics, May 2005
|
| DOI | 10.1016/j.jeconom.2004.02.005 |
| Authors |
Frank Windmeijer |
Mendeley readers
The data shown below were compiled from readership statistics for 1,122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | <1% |
| United Kingdom | 5 | <1% |
| United States | 3 | <1% |
| Spain | 3 | <1% |
| Brazil | 3 | <1% |
| Portugal | 2 | <1% |
| Malaysia | 2 | <1% |
| Ireland | 1 | <1% |
| Norway | 1 | <1% |
| Other | 11 | <1% |
| Unknown | 1086 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 302 | 27% |
| Student > Master | 132 | 12% |
| Researcher | 94 | 8% |
| Student > Doctoral Student | 72 | 6% |
| Professor > Associate Professor | 53 | 5% |
| Other | 222 | 20% |
| Unknown | 247 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 491 | 44% |
| Business, Management and Accounting | 167 | 15% |
| Social Sciences | 57 | 5% |
| Agricultural and Biological Sciences | 28 | 2% |
| Engineering | 13 | 1% |
| Other | 77 | 7% |
| Unknown | 289 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 December 2023.
All research outputs
#881,669
of 26,017,215 outputs
Outputs from Journal of Econometrics
#36
of 2,933 outputs
Outputs of similar age
#1,048
of 72,723 outputs
Outputs of similar age from Journal of Econometrics
#1
of 7 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 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,933 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 72,723 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 97% of its contemporaries.
We're also able to compare this research output to 7 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