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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SpatialData: an open and universal data framework for spatial omics
|
|---|---|
| Published in |
Nature Methods, March 2024
|
| DOI | 10.1038/s41592-024-02212-x |
| Pubmed ID | |
| Authors |
Luca Marconato, Giovanni Palla, Kevin A. Yamauchi, Isaac Virshup, Elyas Heidari, Tim Treis, Wouter-Michiel Vierdag, Marcella Toth, Sonja Stockhaus, Rahul B. Shrestha, Benjamin Rombaut, Lotte Pollaris, Laurens Lehner, Harald Vöhringer, Ilia Kats, Yvan Saeys, Sinem K. Saka, Wolfgang Huber, Moritz Gerstung, Josh Moore, Fabian J. Theis, Oliver Stegle |
X Demographics
The data shown below were collected from the profiles of 269 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 | 59 | 22% |
| Germany | 27 | 10% |
| United Kingdom | 21 | 8% |
| Australia | 8 | 3% |
| France | 6 | 2% |
| Canada | 6 | 2% |
| Japan | 5 | 2% |
| China | 4 | 1% |
| Spain | 4 | 1% |
| Other | 39 | 14% |
| Unknown | 90 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 140 | 52% |
| Members of the public | 122 | 45% |
| Practitioners (doctors, other healthcare professionals) | 5 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Researcher | 8 | 9% |
| Student > Master | 8 | 9% |
| Other | 7 | 8% |
| Professor | 6 | 7% |
| Other | 19 | 21% |
| Unknown | 27 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 25% |
| Agricultural and Biological Sciences | 12 | 13% |
| Computer Science | 8 | 9% |
| Unspecified | 6 | 7% |
| Neuroscience | 4 | 4% |
| Other | 6 | 7% |
| Unknown | 33 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 190. 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 29 April 2024.
All research outputs
#214,693
of 25,861,751 outputs
Outputs from Nature Methods
#173
of 5,423 outputs
Outputs of similar age
#2,782
of 319,352 outputs
Outputs of similar age from Nature Methods
#4
of 100 outputs
Altmetric has tracked 25,861,751 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 5,423 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 319,352 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 99% of its contemporaries.
We're also able to compare this research output to 100 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 96% of its contemporaries.