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Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling

Overview of attention for article published in BMC Genomics, June 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
268 Dimensions

Readers on

mendeley
671 Mendeley
citeulike
2 CiteULike
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Title
Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-419
Pubmed ID
Authors

Wei Zhao, Xiaping He, Katherine A Hoadley, Joel S Parker, David Neil Hayes, Charles M Perou

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 671 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
United Kingdom 4 <1%
France 2 <1%
Denmark 2 <1%
Canada 2 <1%
Austria 2 <1%
Finland 2 <1%
Brazil 1 <1%
Chile 1 <1%
Other 11 2%
Unknown 638 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 163 24%
Researcher 134 20%
Student > Master 88 13%
Student > Bachelor 67 10%
Student > Doctoral Student 43 6%
Other 94 14%
Unknown 82 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 268 40%
Biochemistry, Genetics and Molecular Biology 171 25%
Medicine and Dentistry 44 7%
Immunology and Microbiology 15 2%
Neuroscience 13 2%
Other 63 9%
Unknown 97 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 04 May 2023.
All research outputs
#2,479,742
of 26,017,215 outputs
Outputs from BMC Genomics
#661
of 11,400 outputs
Outputs of similar age
#23,865
of 245,478 outputs
Outputs of similar age from BMC Genomics
#16
of 277 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 245,478 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.