| Title |
SpaceX: gene co-expression network estimation for spatial transcriptomics
|
|---|---|
| Published in |
Bioinformatics, September 2022
|
| DOI | 10.1093/bioinformatics/btac645 |
| Pubmed ID | |
| Authors |
Satwik Acharyya, Xiang Zhou, Veerabhadran Baladandayuthapani |
X Demographics
The data shown below were collected from the profiles of 155 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 | 24 | 15% |
| Germany | 8 | 5% |
| Spain | 7 | 5% |
| India | 6 | 4% |
| Sweden | 5 | 3% |
| Colombia | 5 | 3% |
| Mexico | 4 | 3% |
| Japan | 4 | 3% |
| Czechia | 3 | 2% |
| Other | 36 | 23% |
| Unknown | 53 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 79 | 51% |
| Members of the public | 74 | 48% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 8 | 22% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Computer Science | 6 | 17% |
| Neuroscience | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 85. 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 September 2023.
All research outputs
#511,448
of 25,779,988 outputs
Outputs from Bioinformatics
#68
of 12,908 outputs
Outputs of similar age
#12,787
of 440,027 outputs
Outputs of similar age from Bioinformatics
#1
of 162 outputs
Altmetric has tracked 25,779,988 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 12,908 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 99% 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 440,027 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 162 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 99% of its contemporaries.