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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A clinical prediction rule for diagnosing human infections with avian influenza A(H7N9) in a hospital emergency department setting
|
|---|---|
| Published in |
BMC Medicine, August 2014
|
| DOI | 10.1186/s12916-014-0127-0 |
| Pubmed ID | |
| Authors |
Qiaohong Liao, Dennis K M Ip, Tim K Tsang, Bin Cao, Hui Jiang, Fengfeng Liu, Jiandong Zheng, Zhibin Peng, Peng Wu, Yang Huai, Eric H Y Lau, Luzhao Feng, Gabriel M Leung, Hongjie Yu, Benjamin J Cowling |
| Abstract |
Human infections with avian influenza A(H7N9) virus are associated with severe illness and high mortality. To better inform triage decisions of hospitalization and management, we developed a clinical prediction rule for diagnosing patients with A(H7N9) and determined its predictive performance. |
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 % |
|---|---|---|
| United Kingdom | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Master | 9 | 15% |
| Student > Ph. D. Student | 7 | 11% |
| Other | 4 | 6% |
| Lecturer | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 35% |
| Agricultural and Biological Sciences | 7 | 11% |
| Nursing and Health Professions | 4 | 6% |
| Engineering | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 11 | 18% |
| Unknown | 13 | 21% |
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 19 August 2014.
All research outputs
#6,779,055
of 22,759,618 outputs
Outputs from BMC Medicine
#2,456
of 3,413 outputs
Outputs of similar age
#64,668
of 230,115 outputs
Outputs of similar age from BMC Medicine
#45
of 58 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 27th percentile – i.e., 27% 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 230,115 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 71% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.