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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Causal models for longitudinal and panel data: a survey
|
---|---|
Published in |
Econometrics Journal, June 2024
|
DOI | 10.1093/ectj/utae014 |
Authors |
Dmitry Arkhangelsky, Guido Imbens |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 10% |
United Kingdom | 2 | 4% |
France | 2 | 4% |
Bolivia, Plurinational State of | 1 | 2% |
Ireland | 1 | 2% |
Poland | 1 | 2% |
Japan | 1 | 2% |
Chile | 1 | 2% |
Mexico | 1 | 2% |
Other | 4 | 8% |
Unknown | 31 | 62% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 30 | 60% |
Scientists | 20 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 54 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 28% |
Researcher | 13 | 24% |
Student > Bachelor | 3 | 6% |
Student > Postgraduate | 3 | 6% |
Other | 2 | 4% |
Other | 7 | 13% |
Unknown | 11 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 19 | 35% |
Social Sciences | 6 | 11% |
Computer Science | 6 | 11% |
Mathematics | 5 | 9% |
Business, Management and Accounting | 2 | 4% |
Other | 3 | 6% |
Unknown | 13 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 August 2024.
All research outputs
#1,366,923
of 26,470,638 outputs
Outputs from Econometrics Journal
#11
of 271 outputs
Outputs of similar age
#18,773
of 314,588 outputs
Outputs of similar age from Econometrics Journal
#1
of 1 outputs
Altmetric has tracked 26,470,638 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 271 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 95% 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 314,588 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 1 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