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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Understanding tumor ecosystems by single-cell sequencing: promises and limitations
|
|---|---|
| Published in |
Genome Biology, December 2018
|
| DOI | 10.1186/s13059-018-1593-z |
| Pubmed ID | |
| Authors |
Xianwen Ren, Boxi Kang, Zemin Zhang |
X Demographics
The data shown below were collected from the profiles of 18 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 Kingdom | 4 | 22% |
| United States | 3 | 17% |
| Australia | 1 | 6% |
| Bolivia, Plurinational State of | 1 | 6% |
| India | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 7 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 277 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 22% |
| Researcher | 38 | 14% |
| Student > Bachelor | 32 | 12% |
| Student > Master | 23 | 8% |
| Student > Doctoral Student | 17 | 6% |
| Other | 26 | 9% |
| Unknown | 80 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 91 | 33% |
| Agricultural and Biological Sciences | 44 | 16% |
| Medicine and Dentistry | 18 | 6% |
| Computer Science | 8 | 3% |
| Engineering | 7 | 3% |
| Other | 23 | 8% |
| Unknown | 86 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 16 January 2019.
All research outputs
#3,772,095
of 25,385,509 outputs
Outputs from Genome Biology
#2,546
of 4,468 outputs
Outputs of similar age
#81,303
of 445,099 outputs
Outputs of similar age from Genome Biology
#60
of 77 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% 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 is in the 42nd percentile – i.e., 42% 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 445,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.