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Identification and analysis of long non-coding RNAs in response to H5N1 influenza viruses in duck (Anas platyrhynchos)

Overview of attention for article published in BMC Genomics, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
5 X users

Citations

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10 Dimensions

Readers on

mendeley
17 Mendeley
Title
Identification and analysis of long non-coding RNAs in response to H5N1 influenza viruses in duck (Anas platyrhynchos)
Published in
BMC Genomics, January 2019
DOI 10.1186/s12864-018-5422-2
Pubmed ID
Authors

Chang Lu, Yanling Xing, Han Cai, Yirong Shi, Jinhua Liu, Yinhua Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 18%
Researcher 3 18%
Student > Ph. D. Student 3 18%
Other 2 12%
Professor 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Immunology and Microbiology 3 18%
Business, Management and Accounting 2 12%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 4 24%
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 22 June 2019.
All research outputs
#12,922,776
of 23,122,481 outputs
Outputs from BMC Genomics
#4,433
of 10,708 outputs
Outputs of similar age
#197,024
of 437,106 outputs
Outputs of similar age from BMC Genomics
#89
of 245 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,708 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 57% 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 437,106 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 245 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 62% of its contemporaries.