The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Mapping cellular interactions from spatially resolved transcriptomics data
|
---|---|
Published in |
Nature Methods, September 2024
|
DOI | 10.1038/s41592-024-02408-1 |
Pubmed ID | |
Authors |
James Zhu, Yunguan Wang, Woo Yong Chang, Alicia Malewska, Fabiana Napolitano, Jeffrey C. Gahan, Nisha Unni, Min Zhao, Rongqing Yuan, Fangjiang Wu, Lauren Yue, Lei Guo, Zhuo Zhao, Danny Z. Chen, Raquibul Hannan, Siyuan Zhang, Guanghua Xiao, Ping Mu, Ariella B. Hanker, Douglas Strand, Carlos L. Arteaga, Neil Desai, Xinlei Wang, Yang Xie, Tao Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 28% |
United Kingdom | 4 | 7% |
Australia | 3 | 6% |
India | 2 | 4% |
Singapore | 2 | 4% |
Italy | 1 | 2% |
Switzerland | 1 | 2% |
Japan | 1 | 2% |
France | 1 | 2% |
Other | 4 | 7% |
Unknown | 20 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 28 | 52% |
Scientists | 23 | 43% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 27% |
Student > Ph. D. Student | 6 | 18% |
Other | 3 | 9% |
Professor > Associate Professor | 3 | 9% |
Unspecified | 3 | 9% |
Other | 4 | 12% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 33% |
Neuroscience | 4 | 12% |
Unspecified | 3 | 9% |
Agricultural and Biological Sciences | 3 | 9% |
Computer Science | 2 | 6% |
Other | 3 | 9% |
Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 19 September 2024.
All research outputs
#789,972
of 26,233,985 outputs
Outputs from Nature Methods
#1,024
of 5,583 outputs
Outputs of similar age
#5,877
of 177,787 outputs
Outputs of similar age from Nature Methods
#12
of 74 outputs
Altmetric has tracked 26,233,985 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 5,583 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 done well, scoring higher than 81% 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 177,787 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 96% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.