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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated analysis of microRNA expression and mRNA transcriptome in lungs of avian influenza virus infected broilers
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-278 |
| Pubmed ID | |
| Authors |
Ying Wang, Vinayak Brahmakshatriya, Blanca Lupiani, Sanjay M Reddy, Benjamin Soibam, Ashley L Benham, Preethi Gunaratne, Hsiao-ching Liu, Nares Trakooljul, Nancy Ing, Ron Okimoto, Huaijun Zhou |
| Abstract |
Avian influenza virus (AIV) outbreaks are worldwide threats to both poultry and humans. Our previous study suggested microRNAs (miRNAs) play significant roles in the regulation of host response to AIV infection in layer chickens. The objective of this study was to test the hypothesis if genetic background play essential role in the miRNA regulation of AIV infection in chickens and if miRNAs that were differentially expressed in layer with AIV infection would be modulated the same way in broiler chickens. Furthermore, by integrating with parallel mRNA expression profiling, potential molecular mechanisms of host response to AIV infection can be further exploited. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| China | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 65 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 34% |
| Student > Ph. D. Student | 15 | 21% |
| Student > Master | 8 | 11% |
| Professor | 4 | 6% |
| Student > Postgraduate | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 43% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Medicine and Dentistry | 6 | 9% |
| Veterinary Science and Veterinary Medicine | 4 | 6% |
| Immunology and Microbiology | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 December 2018.
All research outputs
#4,646,510
of 23,314,015 outputs
Outputs from BMC Genomics
#1,913
of 10,742 outputs
Outputs of similar age
#31,425
of 165,493 outputs
Outputs of similar age from BMC Genomics
#12
of 105 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 165,493 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.