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 |
Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions
|
|---|---|
| Published in |
Frontiers in Psychology, January 2013
|
| DOI | 10.3389/fpsyg.2013.00918 |
| Pubmed ID | |
| Authors |
Dora Matzke, Jonathon Love, Thomas V. Wiecki, Scott D. Brown, Gordon D. Logan, Eric-Jan Wagenmakers |
| Abstract |
The stop-signal paradigm is frequently used to study response inhibition. In this paradigm, participants perform a two-choice response time (RT) task where the primary task is occasionally interrupted by a stop-signal that prompts participants to withhold their response. The primary goal is to estimate the latency of the unobservable stop response (stop signal reaction time or SSRT). Recently, Matzke et al. (2013) have developed a Bayesian parametric approach (BPA) that allows for the estimation of the entire distribution of SSRTs. The BPA assumes that SSRTs are ex-Gaussian distributed and uses Markov chain Monte Carlo sampling to estimate the parameters of the SSRT distribution. Here we present an efficient and user-friendly software implementation of the BPA-BEESTS-that can be applied to individual as well as hierarchical stop-signal data. BEESTS comes with an easy-to-use graphical user interface and provides users with summary statistics of the posterior distribution of the parameters as well various diagnostic tools to assess the quality of the parameter estimates. The software is open source and runs on Windows and OS X operating systems. In sum, BEESTS allows experimental and clinical psychologists to estimate entire distributions of SSRTs and hence facilitates the more rigorous analysis of stop-signal data. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Unknown | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 110 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 26% |
| Researcher | 15 | 13% |
| Student > Master | 14 | 12% |
| Student > Bachelor | 11 | 9% |
| Professor > Associate Professor | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 22 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 59 | 50% |
| Neuroscience | 11 | 9% |
| Engineering | 6 | 5% |
| Agricultural and Biological Sciences | 4 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 30 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 May 2017.
All research outputs
#14,778,056
of 25,166,481 outputs
Outputs from Frontiers in Psychology
#13,891
of 33,994 outputs
Outputs of similar age
#170,403
of 293,886 outputs
Outputs of similar age from Frontiers in Psychology
#523
of 969 outputs
Altmetric has tracked 25,166,481 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 57% 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 293,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.