| Title |
Why polls fail to predict elections
|
|---|---|
| Published in |
Journal of Big Data, October 2021
|
| DOI | 10.1186/s40537-021-00525-8 |
| Authors |
Zhenkun Zhou, Matteo Serafino, Luciano Cohan, Guido Caldarelli, Hernán A. Makse |
X Demographics
The data shown below were collected from the profiles of 45 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 | 7 | 16% |
| Italy | 7 | 16% |
| Australia | 2 | 4% |
| Philippines | 1 | 2% |
| Singapore | 1 | 2% |
| Chile | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 25 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 38 | 84% |
| Scientists | 6 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 21% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Professor | 3 | 5% |
| Student > Bachelor | 2 | 3% |
| Other | 8 | 14% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 22% |
| Social Sciences | 5 | 9% |
| Business, Management and Accounting | 3 | 5% |
| Physics and Astronomy | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 25 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 01 March 2024.
All research outputs
#501,498
of 25,802,847 outputs
Outputs from Journal of Big Data
#10
of 397 outputs
Outputs of similar age
#12,160
of 444,800 outputs
Outputs of similar age from Journal of Big Data
#1
of 10 outputs
Altmetric has tracked 25,802,847 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 97% 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 444,800 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 97% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them