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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of computational methods for the analysis of single-cell ATAC-seq data
|
|---|---|
| Published in |
Genome Biology, November 2019
|
| DOI | 10.1186/s13059-019-1854-5 |
| Pubmed ID | |
| Authors |
Huidong Chen, Caleb Lareau, Tommaso Andreani, Michael E. Vinyard, Sara P. Garcia, Kendell Clement, Miguel A. Andrade-Navarro, Jason D. Buenrostro, Luca Pinello |
X Demographics
The data shown below were collected from the profiles of 80 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 | 31 | 39% |
| United Kingdom | 6 | 8% |
| Germany | 6 | 8% |
| Australia | 5 | 6% |
| Switzerland | 2 | 3% |
| France | 2 | 3% |
| Spain | 2 | 3% |
| Canada | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 22 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 53 | 66% |
| Members of the public | 25 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 569 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 569 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 147 | 26% |
| Researcher | 82 | 14% |
| Student > Bachelor | 46 | 8% |
| Student > Master | 41 | 7% |
| Student > Doctoral Student | 28 | 5% |
| Other | 60 | 11% |
| Unknown | 165 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 184 | 32% |
| Agricultural and Biological Sciences | 77 | 14% |
| Computer Science | 42 | 7% |
| Medicine and Dentistry | 18 | 3% |
| Neuroscience | 17 | 3% |
| Other | 56 | 10% |
| Unknown | 175 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 12 August 2023.
All research outputs
#728,957
of 25,506,250 outputs
Outputs from Genome Biology
#468
of 4,484 outputs
Outputs of similar age
#17,335
of 475,224 outputs
Outputs of similar age from Genome Biology
#24
of 100 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 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 well, scoring higher than 89% 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 475,224 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 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.