| Title |
Instagram photos reveal predictive markers of depression
|
|---|---|
| Published in |
EPJ Data Science, August 2017
|
| DOI | 10.1140/epjds/s13688-017-0110-z |
| Authors |
Andrew G Reece, Christopher M Danforth |
Twitter Demographics
The data shown below were collected from the profiles of 1,868 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 335 | 18% |
| United Kingdom | 103 | 6% |
| Thailand | 69 | 4% |
| Turkey | 53 | 3% |
| Germany | 43 | 2% |
| France | 37 | 2% |
| Spain | 36 | 2% |
| Japan | 31 | 2% |
| Canada | 31 | 2% |
| Other | 291 | 16% |
| Unknown | 839 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1539 | 82% |
| Scientists | 225 | 12% |
| Practitioners (doctors, other healthcare professionals) | 61 | 3% |
| Science communicators (journalists, bloggers, editors) | 42 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 815 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| India | 1 | <1% |
| Luxembourg | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 810 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 136 | 17% |
| Student > Bachelor | 134 | 16% |
| Student > Ph. D. Student | 117 | 14% |
| Researcher | 80 | 10% |
| Other | 42 | 5% |
| Other | 121 | 15% |
| Unknown | 185 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 149 | 18% |
| Psychology | 128 | 16% |
| Social Sciences | 61 | 7% |
| Engineering | 42 | 5% |
| Medicine and Dentistry | 39 | 5% |
| Other | 169 | 21% |
| Unknown | 227 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3288. 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 August 2023.
All research outputs
#1,770
of 24,526,614 outputs
Outputs from EPJ Data Science
#1
of 409 outputs
Outputs of similar age
#21
of 321,943 outputs
Outputs of similar age from EPJ Data Science
#1
of 11 outputs
Altmetric has tracked 24,526,614 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 409 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.5. 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 321,943 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 11 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.