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Systematically profiling and annotating long intergenic non-coding RNAs in human embryonic stem cell

Overview of attention for article published in BMC Genomics, October 2013
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Citations

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Title
Systematically profiling and annotating long intergenic non-coding RNAs in human embryonic stem cell
Published in
BMC Genomics, October 2013
DOI 10.1186/1471-2164-14-s5-s3
Pubmed ID
Authors

Xing Tang, Mei Hou, Yang Ding, Zhaohui Li, Lichen Ren, Ge Gao

Abstract

While more and more long intergenic non-coding RNAs (lincRNAs) were identified to take important roles in both maintaining pluripotency and regulating differentiation, how these lincRNAs may define and drive cell fate decisions on a global scale are still mostly elusive. Systematical profiling and comprehensive annotation of embryonic stem cells lincRNAs may not only bring a clearer big picture of these novel regulators but also shed light on their functionalities.

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

Geographical breakdown

Country Count As %
United Kingdom 2 5%
India 1 2%
Italy 1 2%
Brazil 1 2%
Unknown 39 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 11 25%
Student > Master 6 14%
Student > Postgraduate 4 9%
Student > Bachelor 3 7%
Other 7 16%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 59%
Biochemistry, Genetics and Molecular Biology 11 25%
Medicine and Dentistry 2 5%
Philosophy 1 2%
Sports and Recreations 1 2%
Other 1 2%
Unknown 2 5%
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 October 2013.
All research outputs
#14,636,949
of 22,727,570 outputs
Outputs from BMC Genomics
#6,080
of 10,628 outputs
Outputs of similar age
#123,262
of 210,725 outputs
Outputs of similar age from BMC Genomics
#55
of 146 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 210,725 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 146 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 61% of its contemporaries.