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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MEDALT: single-cell copy number lineage tracing enabling gene discovery
|
|---|---|
| Published in |
Genome Biology, February 2021
|
| DOI | 10.1186/s13059-021-02291-5 |
| Pubmed ID | |
| Authors |
Fang Wang, Qihan Wang, Vakul Mohanty, Shaoheng Liang, Jinzhuang Dou, Jincheng Han, Darlan Conterno Minussi, Ruli Gao, Li Ding, Nicholas Navin, Ken Chen |
X Demographics
The data shown below were collected from the profiles of 28 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 | 12 | 43% |
| Sweden | 2 | 7% |
| United Kingdom | 2 | 7% |
| India | 1 | 4% |
| Portugal | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 9 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 57% |
| Members of the public | 9 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 25% |
| Student > Bachelor | 6 | 8% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 3 | 4% |
| Researcher | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 30 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 24% |
| Agricultural and Biological Sciences | 8 | 11% |
| Medicine and Dentistry | 6 | 8% |
| Computer Science | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 31 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 30 March 2021.
All research outputs
#2,081,996
of 25,387,668 outputs
Outputs from Genome Biology
#1,761
of 4,470 outputs
Outputs of similar age
#56,468
of 451,184 outputs
Outputs of similar age from Genome Biology
#47
of 71 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 60% 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 451,184 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 87% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.