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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain
|
|---|---|
| Published in |
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, September 2020
|
| DOI | 10.1186/s13049-020-00786-x |
| Pubmed ID | |
| Authors |
Pei-I Zhang, Chien-Chin Hsu, Yuan Kao, Chia-Jung Chen, Ya-Wei Kuo, Shu-Lien Hsu, Tzu-Lan Liu, Hung-Jung Lin, Jhi-Joung Wang, Chung-Feng Liu, Chien-Cheng Huang |
Twitter Demographics
The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 13% |
| Belgium | 1 | 13% |
| Germany | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 9 | 12% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 7 | 9% |
| Researcher | 5 | 7% |
| Lecturer | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 27 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 16% |
| Unspecified | 9 | 12% |
| Nursing and Health Professions | 8 | 11% |
| Computer Science | 6 | 8% |
| Engineering | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 31 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 October 2020.
All research outputs
#7,759,012
of 23,727,139 outputs
Outputs from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#679
of 1,281 outputs
Outputs of similar age
#162,491
of 402,800 outputs
Outputs of similar age from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#25
of 33 outputs
Altmetric has tracked 23,727,139 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,281 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 402,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.