| Title |
Public Disclosure on Social Media of Identifiable Patient Information by Health Professionals: Content Analysis of Twitter Data
|
|---|---|
| Published in |
Journal of Medical Internet Research, September 2020
|
| DOI | 10.2196/19746 |
| Pubmed ID | |
| Authors |
Wasim Ahmed, Reshma Jagsi, Thomas G Gutheil, Matthew S Katz |
Twitter Demographics
The data shown below were collected from the profiles of 179 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 | 71 | 40% |
| United Kingdom | 22 | 12% |
| Australia | 7 | 4% |
| Canada | 7 | 4% |
| Philippines | 2 | 1% |
| Spain | 2 | 1% |
| India | 1 | <1% |
| Ireland | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 8 | 4% |
| Unknown | 57 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 108 | 60% |
| Scientists | 35 | 20% |
| Practitioners (doctors, other healthcare professionals) | 29 | 16% |
| Science communicators (journalists, bloggers, editors) | 7 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 12% |
| Student > Bachelor | 11 | 10% |
| Student > Postgraduate | 8 | 7% |
| Student > Ph. D. Student | 8 | 7% |
| Unspecified | 6 | 6% |
| Other | 17 | 16% |
| Unknown | 46 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 11% |
| Social Sciences | 10 | 9% |
| Medicine and Dentistry | 6 | 6% |
| Unspecified | 6 | 6% |
| Computer Science | 5 | 5% |
| Other | 20 | 18% |
| Unknown | 50 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 117. 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 July 2023.
All research outputs
#340,016
of 24,512,028 outputs
Outputs from Journal of Medical Internet Research
#220
of 7,517 outputs
Outputs of similar age
#10,435
of 404,560 outputs
Outputs of similar age from Journal of Medical Internet Research
#18
of 485 outputs
Altmetric has tracked 24,512,028 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 7,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. 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 404,560 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 485 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 96% of its contemporaries.