| Title |
Putting human behavior predictability in context
|
|---|---|
| Published in |
EPJ Data Science, August 2021
|
| DOI | 10.1140/epjds/s13688-021-00299-2 |
| Authors |
Wanyi Zhang, Qiang Shen, Stefano Teso, Bruno Lepri, Andrea Passerini, Ivano Bison, Fausto Giunchiglia |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Italy | 2 | 20% |
| Denmark | 1 | 10% |
| Spain | 1 | 10% |
| Chile | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 3 | 9% |
| Researcher | 3 | 9% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 15 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 9% |
| Engineering | 3 | 9% |
| Computer Science | 3 | 9% |
| Economics, Econometrics and Finance | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 16 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 09 September 2021.
All research outputs
#5,230,449
of 25,498,750 outputs
Outputs from EPJ Data Science
#308
of 447 outputs
Outputs of similar age
#110,620
of 437,012 outputs
Outputs of similar age from EPJ Data Science
#9
of 15 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 447 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one is in the 31st percentile – i.e., 31% 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 437,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.