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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance data
|
|---|---|
| Published in |
BMC Public Health, August 2014
|
| DOI | 10.1186/1471-2458-14-850 |
| Pubmed ID | |
| Authors |
Ying Zhang, Ali Arab, Benjamin J Cowling, Michael A Stoto |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 14 | 20% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 24% |
| Nursing and Health Professions | 9 | 13% |
| Agricultural and Biological Sciences | 6 | 8% |
| Social Sciences | 5 | 7% |
| Computer Science | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 March 2020.
All research outputs
#15,603,033
of 23,198,445 outputs
Outputs from BMC Public Health
#11,550
of 15,145 outputs
Outputs of similar age
#134,618
of 231,624 outputs
Outputs of similar age from BMC Public Health
#223
of 281 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 16th percentile – i.e., 16% 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 231,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 281 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.