| Title |
Facebook language predicts depression in medical records
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, October 2018
|
| DOI | 10.1073/pnas.1802331115 |
| Pubmed ID | |
| Authors |
Johannes C. Eichstaedt, Robert J. Smith, Raina M. Merchant, Lyle H. Ungar, Patrick Crutchley, Daniel Preoţiuc-Pietro, David A. Asch, H. Andrew Schwartz |
X Demographics
The data shown below were collected from the profiles of 3,402 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 756 | 22% |
| United States | 123 | 4% |
| United Kingdom | 50 | 1% |
| Japan | 19 | <1% |
| France | 15 | <1% |
| Australia | 14 | <1% |
| Germany | 13 | <1% |
| Canada | 10 | <1% |
| Spain | 9 | <1% |
| Other | 123 | 4% |
| Unknown | 2270 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3227 | 95% |
| Scientists | 127 | 4% |
| Practitioners (doctors, other healthcare professionals) | 34 | <1% |
| Science communicators (journalists, bloggers, editors) | 14 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 601 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 601 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 89 | 15% |
| Student > Master | 72 | 12% |
| Student > Bachelor | 71 | 12% |
| Researcher | 69 | 11% |
| Student > Doctoral Student | 36 | 6% |
| Other | 82 | 14% |
| Unknown | 182 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 91 | 15% |
| Computer Science | 79 | 13% |
| Medicine and Dentistry | 41 | 7% |
| Social Sciences | 36 | 6% |
| Neuroscience | 22 | 4% |
| Other | 111 | 18% |
| Unknown | 221 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1421. 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 13 February 2023.
All research outputs
#8,846
of 25,782,917 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#273
of 103,732 outputs
Outputs of similar age
#151
of 361,028 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#4
of 959 outputs
Altmetric has tracked 25,782,917 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 103,732 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one has done particularly well, scoring higher than 99% 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 361,028 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 959 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 99% of its contemporaries.