Plant Bioinformatics
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Trimming and Validation of Illumina Short Reads Using Trimmomatic, Trinity Assembly, and Assessment of RNA-Seq Data
|
|---|---|
| Book title |
Plant Bioinformatics
|
| Published in |
Methods in molecular biology, January 2022
|
| DOI | 10.1007/978-1-0716-2067-0_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-162066-3, 978-1-07-162067-0
|
| Authors |
Sewe, Steven O., Silva, Gonçalo, Sicat, Paulo, Seal, Susan E., Visendi, Paul, Steven O. Sewe, Gonçalo Silva, Paulo Sicat, Susan E. Seal, Paul Visendi, Sewe, Steven, Silva, Goncalo, Sicat, Juan Paolo, Seal, Susan, Muhindira, Paul Visendi |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Master | 2 | 7% |
| Unspecified | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 17 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Unspecified | 1 | 4% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 18 | 64% |
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 28 March 2022.
All research outputs
#14,353,258
of 23,435,471 outputs
Outputs from Methods in molecular biology
#4,056
of 13,324 outputs
Outputs of similar age
#236,307
of 508,923 outputs
Outputs of similar age from Methods in molecular biology
#137
of 594 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 67% 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 508,923 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 52% of its contemporaries.
We're also able to compare this research output to 594 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.