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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep-learning model for screening sepsis using electrocardiography
|
|---|---|
| Published in |
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, October 2021
|
| DOI | 10.1186/s13049-021-00953-8 |
| Pubmed ID | |
| Authors |
Joon-myoung Kwon, Ye Rang Lee, Min-Seung Jung, Yoon-Ji Lee, Yong-Yeon Jo, Da-Young Kang, Soo Youn Lee, Yong-Hyeon Cho, Jae-Hyun Shin, Jang-Hyeon Ban, Kyung-Hee Kim |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ukraine | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 18% |
| Unspecified | 6 | 12% |
| Researcher | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Doctoral Student | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 21 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 16% |
| Unspecified | 6 | 12% |
| Computer Science | 6 | 12% |
| Immunology and Microbiology | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 22 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 October 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#681
of 1,271 outputs
Outputs of similar age
#153,422
of 433,784 outputs
Outputs of similar age from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#24
of 41 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 43rd percentile – i.e., 43% 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 433,784 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 62% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.