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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical and machine learning methods for spatially resolved transcriptomics data analysis
|
|---|---|
| Published in |
Genome Biology, March 2022
|
| DOI | 10.1186/s13059-022-02653-7 |
| Pubmed ID | |
| Authors |
Zexian Zeng, Yawei Li, Yiming Li, Yuan Luo |
X Demographics
The data shown below were collected from the profiles of 125 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 | 34 | 27% |
| United Kingdom | 8 | 6% |
| Germany | 5 | 4% |
| India | 5 | 4% |
| Australia | 3 | 2% |
| France | 3 | 2% |
| Spain | 2 | 2% |
| Canada | 2 | 2% |
| Singapore | 1 | <1% |
| Other | 15 | 12% |
| Unknown | 47 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 64 | 51% |
| Scientists | 58 | 46% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 192 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 18% |
| Researcher | 27 | 14% |
| Student > Bachelor | 19 | 10% |
| Student > Master | 10 | 5% |
| Other | 5 | 3% |
| Other | 16 | 8% |
| Unknown | 80 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 38 | 20% |
| Computer Science | 17 | 9% |
| Agricultural and Biological Sciences | 16 | 8% |
| Medicine and Dentistry | 8 | 4% |
| Mathematics | 7 | 4% |
| Other | 21 | 11% |
| Unknown | 85 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 28 March 2024.
All research outputs
#693,956
of 25,805,386 outputs
Outputs from Genome Biology
#434
of 4,520 outputs
Outputs of similar age
#17,934
of 448,623 outputs
Outputs of similar age from Genome Biology
#11
of 63 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 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 90% 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 448,623 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 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.