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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A surveillance method to identify patients with sepsis from electronic health records in Hong Kong: a single centre retrospective study
|
|---|---|
| Published in |
BMC Infectious Diseases, September 2020
|
| DOI | 10.1186/s12879-020-05330-x |
| Pubmed ID | |
| Authors |
Ying Zhi Liu, Raymond Chu, Anna Lee, Charles David Gomersall, Lin Zhang, Tony Gin, Matthew T. V. Chan, William K. K. Wu, Lowell Ling |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 4 | 67% |
| Australia | 1 | 17% |
| India | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Members of the public | 2 | 33% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 11 | 24% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Student > Ph. D. Student | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 22 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 11 | 24% |
| Medicine and Dentistry | 6 | 13% |
| Immunology and Microbiology | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 23 | 51% |
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 10 September 2020.
All research outputs
#7,790,114
of 24,967,663 outputs
Outputs from BMC Infectious Diseases
#2,614
of 8,396 outputs
Outputs of similar age
#156,521
of 407,021 outputs
Outputs of similar age from BMC Infectious Diseases
#38
of 152 outputs
Altmetric has tracked 24,967,663 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,396 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 67% 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 407,021 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 60% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.