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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Microarray analysis of MicroRNA expression in peripheral blood mononuclear cells of critically ill patients with influenza A (H1N1)
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2013
|
| DOI | 10.1186/1471-2334-13-257 |
| Pubmed ID | |
| Authors |
Hao Song, Qi Wang, Yang Guo, Shunai Liu, Rui Song, Xuesong Gao, Li Dai, Baoshun Li, Deli Zhang, Jun Cheng |
| Abstract |
With concerns about the disastrous health and economic consequences caused by the influenza pandemic, comprehensively understanding the global host response to influenza virus infection is urgent. The role of microRNA (miRNA) has recently been highlighted in pathogen-host interactions. However, the precise role of miRNAs in the pathogenesis of influenza virus infection in humans, especially in critically ill patients is still unclear. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| United Kingdom | 1 | 1% |
| Taiwan | 1 | 1% |
| Denmark | 1 | 1% |
| China | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 73 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 24% |
| Student > Ph. D. Student | 13 | 16% |
| Student > Bachelor | 9 | 11% |
| Student > Master | 8 | 10% |
| Professor > Associate Professor | 6 | 8% |
| Other | 12 | 15% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 26% |
| Medicine and Dentistry | 13 | 16% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Immunology and Microbiology | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 17 | 21% |
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 03 June 2013.
All research outputs
#20,194,368
of 22,711,645 outputs
Outputs from BMC Infectious Diseases
#6,438
of 7,657 outputs
Outputs of similar age
#170,557
of 195,516 outputs
Outputs of similar age from BMC Infectious Diseases
#113
of 144 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,657 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 1st percentile – i.e., 1% 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 195,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.