| Title |
High-throughput ChIPmentation: freely scalable, single day ChIPseq data generation from very low cell-numbers
|
|---|---|
| Published in |
BMC Genomics, January 2019
|
| DOI | 10.1186/s12864-018-5299-0 |
| Pubmed ID | |
| Authors |
Charlotte Gustafsson, Ayla De Paepe, Christian Schmidl, Robert Månsson |
X Demographics
The data shown below were collected from the profiles of 12 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 | 4 | 33% |
| Sweden | 1 | 8% |
| France | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 23% |
| Student > Ph. D. Student | 18 | 22% |
| Student > Bachelor | 10 | 12% |
| Student > Master | 6 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 17 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 32 | 40% |
| Agricultural and Biological Sciences | 15 | 19% |
| Medicine and Dentistry | 4 | 5% |
| Unspecified | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 17 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 15 February 2019.
All research outputs
#5,587,368
of 26,017,215 outputs
Outputs from BMC Genomics
#2,222
of 11,400 outputs
Outputs of similar age
#118,227
of 453,116 outputs
Outputs of similar age from BMC Genomics
#58
of 247 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 80% 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 453,116 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.