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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of spatial expression trends in single-cell gene expression data
|
---|---|
Published in |
Nature Methods, March 2018
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DOI | 10.1038/nmeth.4634 |
Pubmed ID | |
Authors |
Daniel Edsgärd, Per Johnsson, Rickard Sandberg |
Abstract |
As methods for measuring spatial gene expression at single-cell resolution become available, there is a need for computational analysis strategies. We present trendsceek, a method based on marked point processes that identifies genes with statistically significant spatial expression trends. trendsceek finds these genes in spatial transcriptomic and sequential fluorescence in situ hybridization data, and also reveals significant gene expression gradients and hot spots in low-dimensional projections of dissociated single-cell RNA-seq data. |
X Demographics
The data shown below were collected from the profiles of 48 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 | 12 | 25% |
Sweden | 6 | 13% |
France | 3 | 6% |
Germany | 3 | 6% |
Belgium | 2 | 4% |
China | 1 | 2% |
Netherlands | 1 | 2% |
Spain | 1 | 2% |
United Kingdom | 1 | 2% |
Other | 3 | 6% |
Unknown | 15 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 26 | 54% |
Members of the public | 20 | 42% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 412 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 412 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 113 | 27% |
Researcher | 63 | 15% |
Student > Master | 32 | 8% |
Student > Bachelor | 30 | 7% |
Student > Doctoral Student | 29 | 7% |
Other | 57 | 14% |
Unknown | 88 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 113 | 27% |
Agricultural and Biological Sciences | 80 | 19% |
Computer Science | 43 | 10% |
Medicine and Dentistry | 17 | 4% |
Neuroscience | 16 | 4% |
Other | 44 | 11% |
Unknown | 99 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 12 March 2024.
All research outputs
#924,119
of 24,701,594 outputs
Outputs from Nature Methods
#1,205
of 5,235 outputs
Outputs of similar age
#21,306
of 337,197 outputs
Outputs of similar age from Nature Methods
#26
of 77 outputs
Altmetric has tracked 24,701,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,235 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one has done well, scoring higher than 77% 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 337,197 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 93% of its contemporaries.
We're also able to compare this research output to 77 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 67% of its contemporaries.