| Title |
Estimating suicide occurrence statistics using Google Trends
|
|---|---|
| Published in |
EPJ Data Science, November 2016
|
| DOI | 10.1140/epjds/s13688-016-0094-0 |
| Pubmed ID | |
| Authors |
Ladislav Kristoufek, Helen Susannah Moat, Tobias Preis |
X Demographics
The data shown below were collected from the profiles of 26 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 | 5 | 19% |
| United States | 2 | 8% |
| Spain | 2 | 8% |
| Germany | 2 | 8% |
| Japan | 1 | 4% |
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| Mexico | 1 | 4% |
| Ireland | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 7 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 46% |
| Scientists | 11 | 42% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Malaysia | 1 | <1% |
| Netherlands | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 100 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 15% |
| Student > Master | 16 | 15% |
| Student > Ph. D. Student | 14 | 13% |
| Student > Doctoral Student | 8 | 8% |
| Professor | 6 | 6% |
| Other | 23 | 22% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 13% |
| Social Sciences | 13 | 12% |
| Psychology | 10 | 10% |
| Economics, Econometrics and Finance | 9 | 9% |
| Medicine and Dentistry | 6 | 6% |
| Other | 21 | 20% |
| Unknown | 32 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 10 May 2017.
All research outputs
#1,966,943
of 23,577,761 outputs
Outputs from EPJ Data Science
#174
of 385 outputs
Outputs of similar age
#36,187
of 314,847 outputs
Outputs of similar age from EPJ Data Science
#4
of 5 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.4. This one has gotten more attention than average, scoring higher than 54% 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 314,847 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 88% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.