You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets
|
|---|---|
| Published in |
BMC Genomics, March 2020
|
| DOI | 10.1186/s12864-020-6542-z |
| Pubmed ID | |
| Authors |
Haruka Ozaki, Tetsutaro Hayashi, Mana Umeda, Itoshi Nikaido |
X Demographics
The data shown below were collected from the profiles of 101 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 29 | 29% |
| United States | 8 | 8% |
| Australia | 2 | 2% |
| Sweden | 2 | 2% |
| Canada | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 58 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 74 | 73% |
| Scientists | 26 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 20% |
| Student > Ph. D. Student | 8 | 15% |
| Student > Bachelor | 4 | 7% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 22 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 27% |
| Agricultural and Biological Sciences | 7 | 13% |
| Computer Science | 6 | 11% |
| Medicine and Dentistry | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 22 | 40% |
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 04 September 2020.
All research outputs
#511,954
of 25,734,859 outputs
Outputs from BMC Genomics
#46
of 11,313 outputs
Outputs of similar age
#13,598
of 386,255 outputs
Outputs of similar age from BMC Genomics
#1
of 196 outputs
Altmetric has tracked 25,734,859 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 11,313 research outputs from this source. They receive a mean Attention Score of 4.8. 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 386,255 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 96% of its contemporaries.
We're also able to compare this research output to 196 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.