| Title |
Big data in social and psychological science: theoretical and methodological issues
|
|---|---|
| Published in |
Journal of Computational Social Science, December 2017
|
| DOI | 10.1007/s42001-017-0013-6 |
| Authors |
Lin Qiu, Sarah Hian May Chan, David Chan |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 2 | 29% |
| Argentina | 2 | 29% |
| Bangladesh | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 18% |
| Student > Bachelor | 13 | 14% |
| Student > Ph. D. Student | 11 | 12% |
| Researcher | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 18 | 19% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 31 | 33% |
| Social Sciences | 13 | 14% |
| Economics, Econometrics and Finance | 5 | 5% |
| Computer Science | 5 | 5% |
| Business, Management and Accounting | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 29 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 February 2024.
All research outputs
#7,127,018
of 25,396,120 outputs
Outputs from Journal of Computational Social Science
#59
of 138 outputs
Outputs of similar age
#130,157
of 445,861 outputs
Outputs of similar age from Journal of Computational Social Science
#6
of 11 outputs
Altmetric has tracked 25,396,120 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one has gotten more attention than average, scoring higher than 56% 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 445,861 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 70% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.