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X Demographics
Mendeley readers
Attention Score in Context
| Title |
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
|
|---|---|
| Published in |
Nature Communications, March 2021
|
| DOI | 10.1038/s41467-021-22197-x |
| Pubmed ID | |
| Authors |
Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, Qin Ma, Dong Xu |
X Demographics
The data shown below were collected from the profiles of 38 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 | 39% |
| Canada | 2 | 5% |
| Hong Kong | 1 | 3% |
| India | 1 | 3% |
| Guinea | 1 | 3% |
| Italy | 1 | 3% |
| Bolivia, Plurinational State of | 1 | 3% |
| Sweden | 1 | 3% |
| France | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 14 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 47% |
| Scientists | 17 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 286 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 286 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 16% |
| Researcher | 39 | 14% |
| Student > Master | 25 | 9% |
| Student > Bachelor | 20 | 7% |
| Student > Doctoral Student | 7 | 2% |
| Other | 31 | 11% |
| Unknown | 117 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 48 | 17% |
| Computer Science | 38 | 13% |
| Agricultural and Biological Sciences | 16 | 6% |
| Engineering | 10 | 3% |
| Neuroscience | 9 | 3% |
| Other | 43 | 15% |
| Unknown | 122 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 96. 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 11 August 2023.
All research outputs
#443,583
of 25,424,630 outputs
Outputs from Nature Communications
#7,407
of 57,039 outputs
Outputs of similar age
#13,241
of 453,392 outputs
Outputs of similar age from Nature Communications
#321
of 1,680 outputs
Altmetric has tracked 25,424,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 57,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.6. This one has done well, scoring higher than 87% 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 453,392 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 97% of its contemporaries.
We're also able to compare this research output to 1,680 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.