| Title |
Multiplexed Illumina sequencing libraries from picogram quantities of DNA
|
|---|---|
| Published in |
BMC Genomics, July 2013
|
| DOI | 10.1186/1471-2164-14-466 |
| Pubmed ID | |
| Authors |
Sarah K Bowman, Matthew D Simon, Aimee M Deaton, Michael Tolstorukov, Mark L Borowsky, Robert E Kingston |
| Abstract |
High throughput sequencing is frequently used to discover the location of regulatory interactions on chromatin. However, techniques that enrich DNA where regulatory activity takes place, such as chromatin immunoprecipitation (ChIP), often yield less DNA than optimal for sequencing library preparation. Existing protocols for picogram-scale libraries require concomitant fragmentation of DNA, pre-amplification, or long overnight steps. |
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 States | 7 | 39% |
| United Kingdom | 5 | 28% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 8 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| Spain | 2 | 1% |
| United Kingdom | 2 | 1% |
| Netherlands | 1 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Chile | 1 | <1% |
| Germany | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 180 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 60 | 30% |
| Student > Ph. D. Student | 43 | 22% |
| Student > Master | 20 | 10% |
| Professor | 14 | 7% |
| Professor > Associate Professor | 11 | 6% |
| Other | 33 | 17% |
| Unknown | 19 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 105 | 53% |
| Biochemistry, Genetics and Molecular Biology | 42 | 21% |
| Computer Science | 5 | 3% |
| Medicine and Dentistry | 5 | 3% |
| Engineering | 3 | 2% |
| Other | 13 | 7% |
| Unknown | 27 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 24 October 2023.
All research outputs
#2,596,679
of 25,373,627 outputs
Outputs from BMC Genomics
#720
of 11,244 outputs
Outputs of similar age
#21,510
of 206,467 outputs
Outputs of similar age from BMC Genomics
#20
of 189 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 206,467 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 189 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.