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Non-coding RNA gene families in the genomes of anopheline mosquitoes

Overview of attention for article published in BMC Genomics, November 2014
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Citations

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41 Mendeley
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2 CiteULike
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Title
Non-coding RNA gene families in the genomes of anopheline mosquitoes
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1038
Pubmed ID
Authors

Vicky Dritsou, Elena Deligianni, Emmanuel Dialynas, James Allen, Nikos Poulakakis, Christos Louis, Dan Lawson, Pantelis Topalis

Abstract

Only a small fraction of the mosquito species of the genus Anopheles are able to transmit malaria, one of the biggest killer diseases of poverty, which is mostly prevalent in the tropics. This diversity has genetic, yet unknown, causes. In a further attempt to contribute to the elucidation of these variances, the international "Anopheles Genomes Cluster Consortium" project (a.k.a. "16 Anopheles genomes project") was established, aiming at a comprehensive genomic analysis of several anopheline species, most of which are malaria vectors. In the frame of the international consortium carrying out this project our team studied the genes encoding families of non-coding RNAs (ncRNAs), concentrating on four classes: microRNA (miRNA), ribosomal RNA (rRNA), small nuclear RNA (snRNA), and in particular small nucleolar RNA (snoRNA) and, finally, transfer RNA (tRNA).

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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 5%
United Kingdom 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 32%
Student > Ph. D. Student 8 20%
Student > Master 5 12%
Student > Bachelor 4 10%
Other 3 7%
Other 6 15%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 46%
Biochemistry, Genetics and Molecular Biology 9 22%
Medicine and Dentistry 4 10%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 2%
Other 3 7%
Unknown 3 7%
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 01 December 2014.
All research outputs
#13,417,604
of 22,772,779 outputs
Outputs from BMC Genomics
#4,990
of 10,641 outputs
Outputs of similar age
#178,402
of 361,884 outputs
Outputs of similar age from BMC Genomics
#100
of 242 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,641 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 50% 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 361,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 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 56% of its contemporaries.