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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Demystifying “drop-outs” in single-cell UMI data
|
|---|---|
| Published in |
Genome Biology, August 2020
|
| DOI | 10.1186/s13059-020-02096-y |
| Pubmed ID | |
| Authors |
Tae Hyun Kim, Xiang Zhou, Mengjie Chen |
X Demographics
The data shown below were collected from the profiles of 43 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 | 14 | 33% |
| United Kingdom | 4 | 9% |
| India | 2 | 5% |
| Australia | 2 | 5% |
| Italy | 2 | 5% |
| France | 2 | 5% |
| Pakistan | 1 | 2% |
| Hong Kong | 1 | 2% |
| Sweden | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 14 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 25 | 58% |
| Members of the public | 16 | 37% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 25% |
| Researcher | 21 | 16% |
| Student > Bachelor | 17 | 13% |
| Student > Postgraduate | 7 | 5% |
| Other | 6 | 5% |
| Other | 13 | 10% |
| Unknown | 34 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 32% |
| Agricultural and Biological Sciences | 17 | 13% |
| Computer Science | 15 | 12% |
| Mathematics | 4 | 3% |
| Neuroscience | 4 | 3% |
| Other | 12 | 9% |
| Unknown | 36 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 December 2022.
All research outputs
#1,705,040
of 25,844,183 outputs
Outputs from Genome Biology
#1,379
of 4,524 outputs
Outputs of similar age
#46,198
of 428,035 outputs
Outputs of similar age from Genome Biology
#52
of 101 outputs
Altmetric has tracked 25,844,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,524 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.3. This one has gotten more attention than average, scoring higher than 69% 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 428,035 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 89% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.