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X Demographics
Mendeley readers
Attention Score in Context
| Title |
scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies
|
|---|---|
| Published in |
Genome Biology, October 2022
|
| DOI | 10.1186/s13059-022-02785-w |
| Pubmed ID | |
| Authors |
Peilin Jia, Ruifeng Hu, Fangfang Yan, Yulin Dai, Zhongming Zhao |
X Demographics
The data shown below were collected from the profiles of 70 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 | 15 | 21% |
| United Kingdom | 4 | 6% |
| Canada | 3 | 4% |
| Germany | 3 | 4% |
| China | 3 | 4% |
| Italy | 2 | 3% |
| Poland | 2 | 3% |
| Sweden | 2 | 3% |
| Korea, Republic of | 1 | 1% |
| Other | 10 | 14% |
| Unknown | 25 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 51% |
| Scientists | 33 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 20% |
| Researcher | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Professor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 18 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 28% |
| Agricultural and Biological Sciences | 6 | 15% |
| Neuroscience | 2 | 5% |
| Environmental Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 04 December 2022.
All research outputs
#1,200,585
of 25,392,582 outputs
Outputs from Genome Biology
#902
of 4,470 outputs
Outputs of similar age
#26,676
of 441,666 outputs
Outputs of similar age from Genome Biology
#13
of 60 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 95th 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 well, scoring higher than 79% 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 441,666 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 93% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.