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 |
Comparative analysis of sequencing technologies for single-cell transcriptomics
|
|---|---|
| Published in |
Genome Biology, April 2019
|
| DOI | 10.1186/s13059-019-1676-5 |
| Pubmed ID | |
| Authors |
Kedar Nath Natarajan, Zhichao Miao, Miaomiao Jiang, Xiaoyun Huang, Hongpo Zhou, Jiarui Xie, Chunqing Wang, Shishang Qin, Zhikun Zhao, Liang Wu, Naibo Yang, Bo Li, Yong Hou, Shiping Liu, Sarah A. Teichmann |
X Demographics
The data shown below were collected from the profiles of 131 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 | 19 | 15% |
| United Kingdom | 15 | 11% |
| Australia | 8 | 6% |
| Germany | 8 | 6% |
| Spain | 7 | 5% |
| Switzerland | 5 | 4% |
| China | 5 | 4% |
| Japan | 4 | 3% |
| Austria | 3 | 2% |
| Other | 18 | 14% |
| Unknown | 39 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 74 | 56% |
| Members of the public | 54 | 41% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 207 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 22% |
| Student > Ph. D. Student | 41 | 20% |
| Student > Master | 19 | 9% |
| Student > Bachelor | 14 | 7% |
| Other | 12 | 6% |
| Other | 23 | 11% |
| Unknown | 52 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 68 | 33% |
| Agricultural and Biological Sciences | 46 | 22% |
| Medicine and Dentistry | 8 | 4% |
| Computer Science | 8 | 4% |
| Neuroscience | 5 | 2% |
| Other | 14 | 7% |
| Unknown | 58 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 178. 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 April 2021.
All research outputs
#226,504
of 25,385,509 outputs
Outputs from Genome Biology
#77
of 4,468 outputs
Outputs of similar age
#4,763
of 366,320 outputs
Outputs of similar age from Genome Biology
#2
of 57 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 particularly well, scoring higher than 98% 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 366,320 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 98% of its contemporaries.
We're also able to compare this research output to 57 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 96% of its contemporaries.