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 |
BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis
|
|---|---|
| Published in |
Genome Biology, August 2019
|
| DOI | 10.1186/s13059-019-1748-6 |
| Pubmed ID | |
| Authors |
Fatma Uzbas, Florian Opperer, Can Sönmezer, Dmitry Shaposhnikov, Steffen Sass, Christian Krendl, Philipp Angerer, Fabian J. Theis, Nikola S. Mueller, Micha Drukker |
X Demographics
The data shown below were collected from the profiles of 130 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 | 20 | 15% |
| United Kingdom | 12 | 9% |
| Saudi Arabia | 10 | 8% |
| Germany | 5 | 4% |
| Netherlands | 4 | 3% |
| Canada | 3 | 2% |
| Spain | 3 | 2% |
| France | 3 | 2% |
| Mexico | 3 | 2% |
| Other | 16 | 12% |
| Unknown | 51 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 70 | 54% |
| Scientists | 56 | 43% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 28% |
| Student > Ph. D. Student | 17 | 12% |
| Student > Postgraduate | 10 | 7% |
| Student > Bachelor | 10 | 7% |
| Student > Master | 8 | 6% |
| Other | 26 | 19% |
| Unknown | 30 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 44 | 31% |
| Agricultural and Biological Sciences | 25 | 18% |
| Medicine and Dentistry | 6 | 4% |
| Computer Science | 5 | 4% |
| Unspecified | 5 | 4% |
| Other | 23 | 16% |
| Unknown | 32 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 131. 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 03 February 2022.
All research outputs
#324,146
of 25,736,439 outputs
Outputs from Genome Biology
#136
of 4,509 outputs
Outputs of similar age
#6,325
of 358,122 outputs
Outputs of similar age from Genome Biology
#4
of 69 outputs
Altmetric has tracked 25,736,439 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 4,509 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 96% 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 358,122 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 98% of its contemporaries.
We're also able to compare this research output to 69 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 94% of its contemporaries.