↓ Skip to main content

Profiling the transcriptome with RNA SPOTs

Overview of attention for article published in Nature Methods, November 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
338 X users
patent
52 patents
facebook
1 Facebook page

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
348 Mendeley
citeulike
2 CiteULike
Title
Profiling the transcriptome with RNA SPOTs
Published in
Nature Methods, November 2017
DOI 10.1038/nmeth.4500
Pubmed ID
Authors

Chee-Huat Linus Eng, Sheel Shah, Julian Thomassie, Long Cai

Abstract

Single-molecule FISH (smFISH) has been the gold standard for quantifying individual transcript abundances. Here, we scale up multiplexed smFISH to the transcriptome level and profile 10,212 different mRNAs from mouse fibroblast and embryonic stem cells. This method, called RNA sequential probing of targets (SPOTs), provides an accurate, flexible, and low-cost alternative to sequencing for profiling transcriptomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 338 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 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 348 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 26%
Researcher 81 23%
Student > Master 30 9%
Student > Bachelor 21 6%
Student > Postgraduate 16 5%
Other 50 14%
Unknown 58 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 131 38%
Agricultural and Biological Sciences 76 22%
Neuroscience 18 5%
Medicine and Dentistry 12 3%
Chemistry 10 3%
Other 40 11%
Unknown 61 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 185. 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 13 February 2024.
All research outputs
#217,793
of 25,591,967 outputs
Outputs from Nature Methods
#188
of 5,389 outputs
Outputs of similar age
#4,370
of 337,615 outputs
Outputs of similar age from Nature Methods
#4
of 71 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. This one has done particularly well, scoring higher than 96% 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 337,615 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 98% of its contemporaries.
We're also able to compare this research output to 71 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 95% of its contemporaries.