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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Challenges to capture the big five personality traits in non-WEIRD populations
|
|---|---|
| Published in |
Science Advances, July 2019
|
| DOI | 10.1126/sciadv.aaw5226 |
| Pubmed ID | |
| Authors |
Rachid Laajaj, Karen Macours, Daniel Alejandro Pinzon Hernandez, Omar Arias, Samuel D. Gosling, Jeff Potter, Marta Rubio-Codina, Renos Vakis |
X Demographics
The data shown below were collected from the profiles of 352 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 States | 64 | 18% |
| United Kingdom | 25 | 7% |
| Germany | 16 | 5% |
| Netherlands | 9 | 3% |
| Spain | 9 | 3% |
| Japan | 8 | 2% |
| France | 8 | 2% |
| Canada | 8 | 2% |
| Australia | 7 | 2% |
| Other | 58 | 16% |
| Unknown | 140 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 215 | 61% |
| Scientists | 110 | 31% |
| Practitioners (doctors, other healthcare professionals) | 21 | 6% |
| Science communicators (journalists, bloggers, editors) | 6 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 284 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 18% |
| Student > Master | 35 | 12% |
| Student > Bachelor | 28 | 10% |
| Researcher | 24 | 8% |
| Student > Doctoral Student | 20 | 7% |
| Other | 47 | 17% |
| Unknown | 79 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 79 | 28% |
| Social Sciences | 29 | 10% |
| Economics, Econometrics and Finance | 24 | 8% |
| Business, Management and Accounting | 15 | 5% |
| Computer Science | 6 | 2% |
| Other | 35 | 12% |
| Unknown | 96 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 600. 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 21 March 2023.
All research outputs
#38,927
of 25,801,916 outputs
Outputs from Science Advances
#520
of 12,541 outputs
Outputs of similar age
#747
of 361,436 outputs
Outputs of similar age from Science Advances
#18
of 318 outputs
Altmetric has tracked 25,801,916 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.8. This one has done particularly well, scoring higher than 95% 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 361,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.