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Characterisation of novel microRNAs in the Black flying fox (Pteropus alecto) by deep sequencing

Overview of attention for article published in BMC Genomics, August 2014
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2 X users

Citations

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82 Mendeley
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Title
Characterisation of novel microRNAs in the Black flying fox (Pteropus alecto) by deep sequencing
Published in
BMC Genomics, August 2014
DOI 10.1186/1471-2164-15-682
Pubmed ID
Authors

Christopher Cowled, Cameron R Stewart, Vladimir A Likic, Marc R Friedländer, Mary Tachedjian, Kristie A Jenkins, Mark L Tizard, Pauline Cottee, Glenn A Marsh, Peng Zhou, Michelle L Baker, Andrew G Bean, Lin-fa Wang

Abstract

Bats are a major source of new and emerging viral diseases. Despite the fact that bats carry and shed highly pathogenic viruses including Ebola, Nipah and SARS, they rarely display clinical symptoms of infection. Host factors influencing viral replication are poorly understood in bats and are likely to include both pre- and post-transcriptional regulatory mechanisms. MicroRNAs are a major mechanism of post-transcriptional gene regulation, however very little is known about them in bats.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Spain 1 1%
United Kingdom 1 1%
Unknown 78 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Other 11 13%
Researcher 11 13%
Student > Master 10 12%
Librarian 6 7%
Other 22 27%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 24%
Biochemistry, Genetics and Molecular Biology 13 16%
Medicine and Dentistry 11 13%
Veterinary Science and Veterinary Medicine 5 6%
Nursing and Health Professions 4 5%
Other 12 15%
Unknown 17 21%
Attention Score in Context

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 18 August 2014.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from BMC Genomics
#6,569
of 11,244 outputs
Outputs of similar age
#138,709
of 243,219 outputs
Outputs of similar age from BMC Genomics
#141
of 248 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 243,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.