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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE
|
|---|---|
| Published in |
Genome Biology, April 2023
|
| DOI | 10.1186/s13059-023-02907-y |
| Pubmed ID | |
| Authors |
Yupei You, Yair D. J. Prawer, Ricardo De Paoli-Iseppi, Cameron P. J. Hunt, Clare L. Parish, Heejung Shim, Michael B. Clark |
X Demographics
The data shown below were collected from the profiles of 62 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 10 | 16% |
| United States | 9 | 15% |
| United Kingdom | 5 | 8% |
| China | 3 | 5% |
| Netherlands | 2 | 3% |
| Singapore | 1 | 2% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| Japan | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 27 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 48% |
| Scientists | 29 | 47% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 12 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Agricultural and Biological Sciences | 5 | 16% |
| Engineering | 2 | 6% |
| Neuroscience | 2 | 6% |
| Environmental Science | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 12 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 20 March 2024.
All research outputs
#1,335,974
of 25,584,565 outputs
Outputs from Genome Biology
#1,034
of 4,492 outputs
Outputs of similar age
#27,719
of 421,789 outputs
Outputs of similar age from Genome Biology
#19
of 90 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,492 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 76% 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 421,789 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 90 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.