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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bi-order multimodal integration of single-cell data
|
|---|---|
| Published in |
Genome Biology, May 2022
|
| DOI | 10.1186/s13059-022-02679-x |
| Pubmed ID | |
| Authors |
Jinzhuang Dou, Shaoheng Liang, Vakul Mohanty, Qi Miao, Yuefan Huang, Qingnan Liang, Xuesen Cheng, Sangbae Kim, Jongsu Choi, Yumei Li, Li Li, May Daher, Rafet Basar, Katayoun Rezvani, Rui Chen, Ken Chen |
X Demographics
The data shown below were collected from the profiles of 68 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 | 27 | 40% |
| United Kingdom | 3 | 4% |
| Colombia | 2 | 3% |
| Mexico | 2 | 3% |
| Italy | 2 | 3% |
| India | 2 | 3% |
| Germany | 2 | 3% |
| Australia | 1 | 1% |
| Canada | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 20 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 53% |
| Scientists | 26 | 38% |
| Practitioners (doctors, other healthcare professionals) | 5 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Researcher | 9 | 19% |
| Professor | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 17 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Computer Science | 8 | 17% |
| Mathematics | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 17 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 21 May 2022.
All research outputs
#688,925
of 25,392,582 outputs
Outputs from Genome Biology
#445
of 4,470 outputs
Outputs of similar age
#17,481
of 445,421 outputs
Outputs of similar age from Genome Biology
#10
of 51 outputs
Altmetric has tracked 25,392,582 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 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 445,421 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 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.