| Title |
Cellular, transcriptomic and isoform heterogeneity of breast cancer cell line revealed by full-length single-cell RNA sequencing
|
|---|---|
| Published in |
Computational and Structural Biotechnology Journal, March 2020
|
| DOI | 10.1016/j.csbj.2020.03.005 |
| Pubmed ID | |
| Authors |
Shaocheng Wu, Hongjiu Zhang, Shamileh Fouladdel, Hongyang Li, Evan Keller, Max S. Wicha, Gilbert S. Omenn, Ebrahim Azizi, Yuanfang Guan |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Researcher | 10 | 16% |
| Student > Bachelor | 5 | 8% |
| Student > Master | 5 | 8% |
| Lecturer | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 39% |
| Agricultural and Biological Sciences | 6 | 10% |
| Immunology and Microbiology | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 24 | 39% |
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 17 December 2020.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from Computational and Structural Biotechnology Journal
#1,520
of 2,363 outputs
Outputs of similar age
#283,846
of 391,489 outputs
Outputs of similar age from Computational and Structural Biotechnology Journal
#51
of 73 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,363 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 30th percentile – i.e., 30% 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 391,489 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.