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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BisQC: an operational pipeline for multiplexed bisulfite sequencing
|
|---|---|
| Published in |
BMC Genomics, April 2014
|
| DOI | 10.1186/1471-2164-15-290 |
| Pubmed ID | |
| Authors |
Gary G Chen, Alpha B Diallo, Raphaël Poujol, Corina Nagy, Alfredo Staffa, Kathryn Vaillancourt, Pierre-Eric Lutz, Vanessa K Ota, Deborah C Mash, Gustavo Turecki, Carl Ernst |
| Abstract |
Bisulfite sequencing is the most efficient single nucleotide resolution method for analysis of methylation status at whole genome scale, but improved quality control metrics are needed to better standardize experiments. |
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 % |
|---|---|---|
| Montenegro | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| France | 1 | 2% |
| Norway | 1 | 2% |
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| India | 1 | 2% |
| Japan | 1 | 2% |
| Russia | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 50 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 37% |
| Student > Ph. D. Student | 20 | 32% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 55% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Computer Science | 5 | 8% |
| Engineering | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 5 | 8% |
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 08 June 2021.
All research outputs
#4,453,387
of 22,753,345 outputs
Outputs from BMC Genomics
#1,824
of 10,636 outputs
Outputs of similar age
#39,945
of 203,744 outputs
Outputs of similar age from BMC Genomics
#17
of 165 outputs
Altmetric has tracked 22,753,345 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 10,636 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 203,744 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 165 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.