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Exploring the stability of long intergenic non-coding RNA in K562 cells by comparative studies of RNA-Seq datasets

Overview of attention for article published in Biology Direct, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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1 tweeter
googleplus
1 Google+ user

Citations

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6 Dimensions

Readers on

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31 Mendeley
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Title
Exploring the stability of long intergenic non-coding RNA in K562 cells by comparative studies of RNA-Seq datasets
Published in
Biology Direct, July 2014
DOI 10.1186/1745-6150-9-15
Pubmed ID
Authors

Lei Wang, Dequan Zhou, Jing Tu, Yan Wang, Zuhong Lu

Abstract

The stability of long intergenic non-coding RNAs (lincRNAs) that possess tissue/cell-specific expression, might be closely related to their physiological functions. However, the mechanism associated with stability of lincRNA remains elusive. In this study, we try to study the stability of lincRNA in K562 cells, an important model cell, through comparing two K562 transcriptomes which are obtained from ENCODE Consortium and our sequenced RNA-Seq dataset (PH) respectively.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
China 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 7 23%
Student > Bachelor 4 13%
Student > Master 3 10%
Professor 2 6%
Other 3 10%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 29%
Biochemistry, Genetics and Molecular Biology 7 23%
Computer Science 3 10%
Engineering 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 7 23%

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 02 October 2014.
All research outputs
#6,913,078
of 12,017,156 outputs
Outputs from Biology Direct
#269
of 552 outputs
Outputs of similar age
#83,399
of 192,927 outputs
Outputs of similar age from Biology Direct
#4
of 9 outputs
Altmetric has tracked 12,017,156 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 552 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 48th percentile – i.e., 48% 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 192,927 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 53% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.