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 |
Integrative analyses of single-cell transcriptome and regulome using MAESTRO
|
|---|---|
| Published in |
Genome Biology, August 2020
|
| DOI | 10.1186/s13059-020-02116-x |
| Pubmed ID | |
| Authors |
Chenfei Wang, Dongqing Sun, Xin Huang, Changxin Wan, Ziyi Li, Ya Han, Qian Qin, Jingyu Fan, Xintao Qiu, Yingtian Xie, Clifford A. Meyer, Myles Brown, Ming Tang, Henry Long, Tao Liu, X. Shirley Liu |
X Demographics
The data shown below were collected from the profiles of 169 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 | 61 | 36% |
| United Kingdom | 9 | 5% |
| Italy | 6 | 4% |
| Germany | 6 | 4% |
| Australia | 5 | 3% |
| Japan | 4 | 2% |
| France | 3 | 2% |
| Norway | 3 | 2% |
| China | 2 | 1% |
| Other | 15 | 9% |
| Unknown | 55 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 98 | 58% |
| Members of the public | 67 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 227 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 21% |
| Researcher | 46 | 20% |
| Student > Master | 22 | 10% |
| Student > Bachelor | 14 | 6% |
| Student > Doctoral Student | 7 | 3% |
| Other | 28 | 12% |
| Unknown | 62 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 69 | 30% |
| Agricultural and Biological Sciences | 28 | 12% |
| Computer Science | 17 | 7% |
| Medicine and Dentistry | 15 | 7% |
| Unspecified | 6 | 3% |
| Other | 21 | 9% |
| Unknown | 71 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 99. 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 2023.
All research outputs
#431,560
of 25,556,408 outputs
Outputs from Genome Biology
#229
of 4,489 outputs
Outputs of similar age
#13,285
of 427,398 outputs
Outputs of similar age from Genome Biology
#9
of 102 outputs
Altmetric has tracked 25,556,408 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 4,489 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 94% 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 427,398 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 102 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 92% of its contemporaries.