You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 115 | 34% |
United Kingdom | 29 | 9% |
Germany | 16 | 5% |
France | 13 | 4% |
Australia | 6 | 2% |
China | 5 | 1% |
Canada | 5 | 1% |
Spain | 5 | 1% |
Brazil | 4 | 1% |
Other | 39 | 12% |
Unknown | 101 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 186 | 55% |
Members of the public | 145 | 43% |
Practitioners (doctors, other healthcare professionals) | 5 | 1% |
Science communicators (journalists, bloggers, editors) | 2 | <1% |
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 | 90 | 26% |
Researcher | 82 | 24% |
Student > Master | 30 | 9% |
Student > Bachelor | 21 | 6% |
Student > Postgraduate | 16 | 5% |
Other | 52 | 15% |
Unknown | 57 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 129 | 37% |
Agricultural and Biological Sciences | 76 | 22% |
Neuroscience | 18 | 5% |
Medicine and Dentistry | 12 | 3% |
Engineering | 11 | 3% |
Other | 42 | 12% |
Unknown | 60 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 186. 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 16 April 2024.
All research outputs
#219,826
of 25,795,662 outputs
Outputs from Nature Methods
#185
of 5,420 outputs
Outputs of similar age
#4,365
of 338,150 outputs
Outputs of similar age from Nature Methods
#3
of 71 outputs
Altmetric has tracked 25,795,662 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 5,420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.5. 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 338,150 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.