You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
What Goes Up Might Not Come Down: Modeling Directional Asymmetry with Large-N, Large-T Data
|
|---|---|
| Published in |
Sociological Methodology, September 2021
|
| DOI | 10.1177/00811750211046307 |
| Authors |
Ryan P. Thombs, Xiaorui Huang, Jared Berry Fitzgerald |
X Demographics
The data shown below were collected from the profiles of 15 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 | 7 | 47% |
| United Kingdom | 1 | 7% |
| India | 1 | 7% |
| Ireland | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 5 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Professor > Associate Professor | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 60% |
| Economics, Econometrics and Finance | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 22 July 2022.
All research outputs
#3,473,263
of 25,770,491 outputs
Outputs from Sociological Methodology
#51
of 245 outputs
Outputs of similar age
#75,722
of 438,089 outputs
Outputs of similar age from Sociological Methodology
#1
of 2 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 245 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 79% 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 438,089 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 82% of its contemporaries.
We're also able to compare this research output to 2 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