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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
|
|---|---|
| Published in |
Genome Biology, March 2019
|
| DOI | 10.1186/s13059-019-1663-x |
| Pubmed ID | |
| Authors |
F. Alexander Wolf, Fiona K. Hamey, Mireya Plass, Jordi Solana, Joakim S. Dahlin, Berthold Göttgens, Nikolaus Rajewsky, Lukas Simon, Fabian J. Theis |
| Abstract |
Single-cell RNA-seq quantifies biological heterogeneity across both discrete cell types and continuous cell transitions. Partition-based graph abstraction (PAGA) provides an interpretable graph-like map of the arising data manifold, based on estimating connectivity of manifold partitions ( https://github.com/theislab/paga ). PAGA maps preserve the global topology of data, allow analyzing data at different resolutions, and result in much higher computational efficiency of the typical exploratory data analysis workflow. We demonstrate the method by inferring structure-rich cell maps with consistent topology across four hematopoietic datasets, adult planaria and the zebrafish embryo and benchmark computational performance on one million neurons. |
X Demographics
The data shown below were collected from the profiles of 135 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 30 | 22% |
| United States | 21 | 16% |
| United Kingdom | 12 | 9% |
| Switzerland | 8 | 6% |
| Spain | 5 | 4% |
| Austria | 3 | 2% |
| Italy | 3 | 2% |
| Australia | 3 | 2% |
| Hong Kong | 2 | 1% |
| Other | 14 | 10% |
| Unknown | 34 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 70 | 52% |
| Members of the public | 60 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 265 | 24% |
| Researcher | 195 | 18% |
| Student > Master | 98 | 9% |
| Student > Bachelor | 98 | 9% |
| Student > Doctoral Student | 47 | 4% |
| Other | 121 | 11% |
| Unknown | 289 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 301 | 27% |
| Agricultural and Biological Sciences | 162 | 15% |
| Computer Science | 72 | 6% |
| Medicine and Dentistry | 55 | 5% |
| Immunology and Microbiology | 49 | 4% |
| Other | 164 | 15% |
| Unknown | 310 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 166. 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 27 February 2024.
All research outputs
#250,043
of 25,765,370 outputs
Outputs from Genome Biology
#89
of 4,515 outputs
Outputs of similar age
#5,427
of 365,637 outputs
Outputs of similar age from Genome Biology
#4
of 61 outputs
Altmetric has tracked 25,765,370 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 4,515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 98% 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 365,637 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 61 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 93% of its contemporaries.