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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Etiological analysis and predictive diagnostic model building of community-acquired pneumonia in adult outpatients in Beijing, China
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2013
|
| DOI | 10.1186/1471-2334-13-309 |
| Pubmed ID | |
| Authors |
Ya-Fen Liu, Yan Gao, Mei-Fang Chen, Bin Cao, Xiao-Hua Yang, Lai Wei |
| Abstract |
Etiological epidemiology and diagnosis are important issues in adult community-acquired pneumonia (CAP), and identifying pathogens based on patient clinical features is especially a challenge. CAP-associated main pathogens in adults include viruses as well as bacteria. However, large-scale epidemiological investigations of adult viral CAP in China are still lacking. In this study, we analyzed the etiology of adult CAP in Beijing, China and constructed diagnostic models based on combinations of patient clinical factors. |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Unknown | 62 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 19% |
| Researcher | 10 | 16% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Bachelor | 7 | 11% |
| Other | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 30% |
| Agricultural and Biological Sciences | 9 | 14% |
| Immunology and Microbiology | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 10 | 16% |
| Unknown | 15 | 24% |
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 10 July 2013.
All research outputs
#14,657,412
of 23,577,654 outputs
Outputs from BMC Infectious Diseases
#3,822
of 7,854 outputs
Outputs of similar age
#110,769
of 195,889 outputs
Outputs of similar age from BMC Infectious Diseases
#67
of 145 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 50% 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 195,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 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 53% of its contemporaries.