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Attention Score in Context
| Title |
A tutorial on DynaSearch: A Web-based system for collecting process-tracing data in dynamic decision tasks
|
|---|---|
| Published in |
Behavior Research Methods, September 2018
|
| DOI | 10.3758/s13428-018-1119-3 |
| Pubmed ID | |
| Authors |
Michael K. Lindell, Donald H. House, Jordan Gestring, Hao-Che Wu |
| Abstract |
This tutorial describes DynaSearch, a Web-based system that supports process-tracing experiments on coupled-system dynamic decision-making tasks. A major need in these tasks is to examine the process by which decision makers search over a succession of situation reports for the information they need in order to make response decisions. DynaSearch provides researchers with the ability to construct and administer Web-based experiments containing both between- and within-subjects factors. Information search pages record participants' acquisition of verbal, numeric, and graphic information. Questionnaire pages query participants' recall of information, inferences from that information, and decisions about appropriate response actions. Experimenters can access this information in an online viewer to verify satisfactory task completion and can download the data in comma-separated text files that can be imported into statistical analysis packages. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Student > Doctoral Student | 3 | 12% |
| Researcher | 3 | 12% |
| Professor | 2 | 8% |
| Other | 5 | 20% |
| Unknown | 4 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 24% |
| Social Sciences | 4 | 16% |
| Agricultural and Biological Sciences | 2 | 8% |
| Psychology | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 6 | 24% |
| Unknown | 4 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 September 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Behavior Research Methods
#2,100
of 2,526 outputs
Outputs of similar age
#302,338
of 345,354 outputs
Outputs of similar age from Behavior Research Methods
#48
of 53 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,526 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 345,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.