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Identification of differentially expressed miRNAs in chicken lung and trachea with avian influenza virus infection by a deep sequencing approach

Overview of attention for article published in BMC Genomics, November 2009
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Mentioned by

patent
1 patent

Citations

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103 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
4 CiteULike
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Title
Identification of differentially expressed miRNAs in chicken lung and trachea with avian influenza virus infection by a deep sequencing approach
Published in
BMC Genomics, November 2009
DOI 10.1186/1471-2164-10-512
Pubmed ID
Authors

Ying Wang, Vinayak Brahmakshatriya, Huifeng Zhu, Blanca Lupiani, Sanjay M Reddy, Byung-Jun Yoon, Preethi H Gunaratne, Jong Hwan Kim, Rui Chen, Junjun Wang, Huaijun Zhou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Brazil 1 1%
France 1 1%
Denmark 1 1%
United Kingdom 1 1%
Unknown 82 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 31%
Student > Ph. D. Student 22 24%
Student > Bachelor 6 7%
Professor > Associate Professor 6 7%
Student > Master 6 7%
Other 13 14%
Unknown 9 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 61%
Biochemistry, Genetics and Molecular Biology 11 12%
Medicine and Dentistry 4 4%
Veterinary Science and Veterinary Medicine 3 3%
Immunology and Microbiology 3 3%
Other 3 3%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 September 2022.
All research outputs
#7,647,369
of 23,283,373 outputs
Outputs from BMC Genomics
#3,654
of 10,737 outputs
Outputs of similar age
#34,666
of 95,672 outputs
Outputs of similar age from BMC Genomics
#13
of 36 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,737 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 95,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.