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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
|
|---|---|
| Published in |
Genome Biology, April 2016
|
| DOI | 10.1186/s13059-016-0947-7 |
| Pubmed ID | |
| Authors |
Aaron T. L. Lun, Karsten Bach, John C. Marioni |
X Demographics
The data shown below were collected from the profiles of 65 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 | 12 | 18% |
| United Kingdom | 8 | 12% |
| Australia | 4 | 6% |
| Germany | 4 | 6% |
| Spain | 3 | 5% |
| France | 2 | 3% |
| Denmark | 1 | 2% |
| Netherlands | 1 | 2% |
| Italy | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 24 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 37 | 57% |
| Members of the public | 25 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,075 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | <1% |
| United Kingdom | 5 | <1% |
| Sweden | 2 | <1% |
| Denmark | 2 | <1% |
| Israel | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 1052 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 267 | 25% |
| Researcher | 213 | 20% |
| Student > Master | 113 | 11% |
| Student > Bachelor | 102 | 9% |
| Student > Postgraduate | 50 | 5% |
| Other | 126 | 12% |
| Unknown | 204 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 331 | 31% |
| Agricultural and Biological Sciences | 254 | 24% |
| Computer Science | 60 | 6% |
| Medicine and Dentistry | 43 | 4% |
| Neuroscience | 38 | 4% |
| Other | 131 | 12% |
| Unknown | 218 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 08 February 2024.
All research outputs
#800,381
of 25,706,302 outputs
Outputs from Genome Biology
#526
of 4,504 outputs
Outputs of similar age
#13,947
of 313,383 outputs
Outputs of similar age from Genome Biology
#10
of 80 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 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 88% 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 313,383 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 95% 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 done well, scoring higher than 87% of its contemporaries.