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Computational prediction and validation of C/D, H/ACA and Eh_U3 snoRNAs of Entamoeba histolytica

Overview of attention for article published in BMC Genomics, August 2012
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

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11 Dimensions

Readers on

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30 Mendeley
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Title
Computational prediction and validation of C/D, H/ACA and Eh_U3 snoRNAs of Entamoeba histolytica
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-390
Pubmed ID
Authors

Devinder Kaur, Abhishek Kumar Gupta, Vandana Kumari, Rahul Sharma, Alok Bhattacharya, Sudha Bhattacharya

Abstract

Small nucleolar RNAs are a highly conserved group of small RNAs found in eukaryotic cells. Genes encoding these RNAs are diversely located throughout the genome. They are functionally conserved, performing post transcriptional modification (methylation and pseudouridylation) of rRNA and other nuclear RNAs. They belong to two major categories: the C/D box and H/ACA box containing snoRNAs. U3 snoRNA is an exceptional member of C/D box snoRNAs and is involved in early processing of pre-rRNA. An antisense sequence is present in each snoRNA which guides the modification or processing of target RNA. However, some snoRNAs lack this sequence and often they are called orphan snoRNAs.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 20%
Student > Ph. D. Student 4 13%
Researcher 4 13%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 6 20%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 33%
Biochemistry, Genetics and Molecular Biology 7 23%
Social Sciences 2 7%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 8 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 October 2020.
All research outputs
#7,172,306
of 22,673,450 outputs
Outputs from BMC Genomics
#3,412
of 10,614 outputs
Outputs of similar age
#53,205
of 167,805 outputs
Outputs of similar age from BMC Genomics
#34
of 113 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,614 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 66% 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 167,805 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 67% of its contemporaries.
We're also able to compare this research output to 113 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 63% of its contemporaries.