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X Demographics
Mendeley readers
Attention Score in Context
Title |
Pulmonary immune responses to 2009 pandemic influenza A (H1N1) virus in mice
|
---|---|
Published in |
BMC Infectious Diseases, April 2014
|
DOI | 10.1186/1471-2334-14-197 |
Pubmed ID | |
Authors |
Jin Lv, Dan Wang, Yan-Hong Hua, Shi-Jia Pei, Jin Wang, Wen-Wei Hu, Xi-Liang Wang, Na Jia, Qi-Sheng Jiang |
Abstract |
Well-characterized mice models will afford a cheaper, easy-handling opportunity for a more comprehensive understanding of 2009 influenza A (H1N1) virus's pathogenesis potential. We aimed to provide a robust description of pulmonary immune responses in the mice infected by the virus. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 37% |
Student > Master | 6 | 20% |
Professor | 4 | 13% |
Researcher | 3 | 10% |
Lecturer | 1 | 3% |
Other | 3 | 10% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 30% |
Medicine and Dentistry | 5 | 17% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 13% |
Immunology and Microbiology | 4 | 13% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Other | 3 | 10% |
Unknown | 3 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 January 2015.
All research outputs
#14,194,875
of 22,753,345 outputs
Outputs from BMC Infectious Diseases
#3,760
of 7,665 outputs
Outputs of similar age
#120,328
of 226,854 outputs
Outputs of similar age from BMC Infectious Diseases
#77
of 151 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,665 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 47th percentile – i.e., 47% 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 226,854 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.