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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Erratum to: Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity
|
|---|---|
| Published in |
Genome Biology, January 2017
|
| DOI | 10.1186/s13059-017-1154-x |
| Pubmed ID | |
| Authors |
Yohei Sasagawa, Itoshi Nikaido, Tetsutaro Hayashi, Hiroki Danno, Kenichiro D Uno, Takeshi Imai, Hiroki R. Ueda |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Medicine and Dentistry | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Neuroscience | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 21 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 January 2017.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Genome Biology
#4,394
of 4,467 outputs
Outputs of similar age
#362,461
of 421,363 outputs
Outputs of similar age from Genome Biology
#58
of 61 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 421,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.