| Title |
Using machine learning for communication classification
|
|---|---|
| Published in |
Experimental Economics, February 2019
|
| DOI | 10.1007/s10683-018-09600-z |
| Authors |
Stefan P. Penczynski |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 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 > Ph. D. Student | 6 | 24% |
| Student > Master | 5 | 20% |
| Student > Doctoral Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 9 | 36% |
| Business, Management and Accounting | 2 | 8% |
| Computer Science | 2 | 8% |
| Unspecified | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 32% |
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 25 March 2019.
All research outputs
#15,566,052
of 23,136,540 outputs
Outputs from Experimental Economics
#268
of 340 outputs
Outputs of similar age
#272,088
of 448,105 outputs
Outputs of similar age from Experimental Economics
#5
of 5 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 10th percentile – i.e., 10% 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 448,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.