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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Inferring pattern-driving intercellular flows from single-cell and spatial transcriptomics
|
---|---|
Published in |
Nature Methods, August 2024
|
DOI | 10.1038/s41592-024-02380-w |
Pubmed ID | |
Authors |
Axel A. Almet, Yuan-Chen Tsai, Momoko Watanabe, Qing Nie |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 27% |
United Kingdom | 3 | 6% |
Canada | 2 | 4% |
Italy | 2 | 4% |
Hong Kong | 1 | 2% |
France | 1 | 2% |
Australia | 1 | 2% |
Singapore | 1 | 2% |
Russia | 1 | 2% |
Other | 7 | 13% |
Unknown | 19 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 28 | 54% |
Members of the public | 22 | 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 19% |
Researcher | 3 | 14% |
Professor | 2 | 10% |
Unspecified | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Other | 4 | 19% |
Unknown | 4 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 24% |
Agricultural and Biological Sciences | 4 | 19% |
Mathematics | 3 | 14% |
Unspecified | 2 | 10% |
Computer Science | 1 | 5% |
Other | 2 | 10% |
Unknown | 4 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 11 September 2024.
All research outputs
#1,651,711
of 26,622,753 outputs
Outputs from Nature Methods
#1,956
of 5,578 outputs
Outputs of similar age
#12,229
of 186,740 outputs
Outputs of similar age from Nature Methods
#26
of 80 outputs
Altmetric has tracked 26,622,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.9. This one has gotten more attention than average, scoring higher than 64% 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 186,740 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 80 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.