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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Raw sequence data and quality control.
|
|---|---|
| Chapter number | 9 |
| Book title |
Bacterial Pangenomics
|
| Published in |
Methods in molecular biology, October 2014
|
| DOI | 10.1007/978-1-4939-1720-4_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1719-8, 978-1-4939-1720-4
|
| Authors |
Bacci G, Giovanni Bacci, Bacci, Giovanni |
| Abstract |
Next-generation sequencing technologies are extensively used in many fields of biology. One of the problems, related to the utilization of this kind of data, is the analysis of raw sequence quality and removal (trimming) of low-quality segments while retaining sufficient information for subsequent analyses. Here, we present a series of methods useful for converting and for refinishing one or more sequence files. One of the methods proposed, based on dynamic trimming, as implemented in the software StreamingTrim allows a fast and accurate trimming of sequence files, with low memory requirement. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Researcher | 6 | 21% |
| Student > Bachelor | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Student > Master | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 45% |
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Computer Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 October 2014.
All research outputs
#14,203,052
of 22,768,097 outputs
Outputs from Methods in molecular biology
#4,174
of 13,090 outputs
Outputs of similar age
#134,895
of 260,259 outputs
Outputs of similar age from Methods in molecular biology
#23
of 126 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% 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 260,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 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.