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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A method for generating highly multiplexed ChIP-seq libraries
|
|---|---|
| Published in |
BMC Research Notes, May 2014
|
| DOI | 10.1186/1756-0500-7-312 |
| Pubmed ID | |
| Authors |
Ethan Ford, Chrysa Nikopoulou, Antonis Kokkalis, Dimitris Thanos |
| Abstract |
The barcoding of next generation sequencing libraries has become an essential part of the experimental design. Barcoding not only allows the sequencing of more than one sample per lane, but also reduces technical bias. However, current barcoding strategies impose significant limitations and/or technical barriers in their implementation for ChIP-sequencing. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Researcher | 7 | 18% |
| Student > Master | 4 | 11% |
| Professor | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 53% |
| Agricultural and Biological Sciences | 10 | 26% |
| Immunology and Microbiology | 1 | 3% |
| Chemistry | 1 | 3% |
| Unknown | 6 | 16% |
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 18 December 2020.
All research outputs
#4,444,420
of 22,778,347 outputs
Outputs from BMC Research Notes
#686
of 4,263 outputs
Outputs of similar age
#44,094
of 226,310 outputs
Outputs of similar age from BMC Research Notes
#24
of 102 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 83% 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 226,310 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 80% of its contemporaries.
We're also able to compare this research output to 102 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.