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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
|
|---|---|
| Published in |
Genome Biology, June 2020
|
| DOI | 10.1186/s13059-020-02048-6 |
| Pubmed ID | |
| Authors |
Elena Denisenko, Belinda B. Guo, Matthew Jones, Rui Hou, Leanne de Kock, Timo Lassmann, Daniel Poppe, Olivier Clément, Rebecca K. Simmons, Ryan Lister, Alistair R. R. Forrest |
X Demographics
The data shown below were collected from the profiles of 58 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 | 14 | 24% |
| Australia | 13 | 22% |
| Germany | 2 | 3% |
| United Kingdom | 2 | 3% |
| Japan | 2 | 3% |
| Switzerland | 2 | 3% |
| Norway | 1 | 2% |
| Ireland | 1 | 2% |
| Spain | 1 | 2% |
| Other | 9 | 16% |
| Unknown | 11 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 29 | 50% |
| Members of the public | 28 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 524 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 524 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 97 | 19% |
| Researcher | 92 | 18% |
| Student > Master | 52 | 10% |
| Student > Bachelor | 40 | 8% |
| Student > Doctoral Student | 26 | 5% |
| Other | 62 | 12% |
| Unknown | 155 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 145 | 28% |
| Agricultural and Biological Sciences | 55 | 10% |
| Medicine and Dentistry | 33 | 6% |
| Neuroscience | 27 | 5% |
| Immunology and Microbiology | 22 | 4% |
| Other | 60 | 11% |
| Unknown | 182 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 April 2022.
All research outputs
#1,045,195
of 25,837,817 outputs
Outputs from Genome Biology
#748
of 4,506 outputs
Outputs of similar age
#31,195
of 434,945 outputs
Outputs of similar age from Genome Biology
#24
of 80 outputs
Altmetric has tracked 25,837,817 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 4,506 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 83% 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 434,945 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 92% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.