| Title |
Inferring psychological traits from spending categories and dynamic consumption patterns
|
|---|---|
| Published in |
EPJ Data Science, May 2021
|
| DOI | 10.1140/epjds/s13688-021-00281-y |
| Authors |
Natkamon Tovanich, Simone Centellegher, Nacéra Bennacer Seghouani, Joe Gladstone, Sandra Matz, Bruno Lepri |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 3 | 18% |
| Italy | 2 | 12% |
| France | 1 | 6% |
| United States | 1 | 6% |
| Turkey | 1 | 6% |
| Australia | 1 | 6% |
| Denmark | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 53% |
| Members of the public | 7 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Unspecified | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 7 | 20% |
| Unknown | 15 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 9% |
| Social Sciences | 3 | 9% |
| Unspecified | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 17 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 May 2021.
All research outputs
#3,118,273
of 23,308,124 outputs
Outputs from EPJ Data Science
#229
of 382 outputs
Outputs of similar age
#77,131
of 440,140 outputs
Outputs of similar age from EPJ Data Science
#11
of 19 outputs
Altmetric has tracked 23,308,124 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 382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 40th percentile – i.e., 40% 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 440,140 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.