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Mendeley readers
Attention Score in Context
| Chapter title |
Methods for identifying and mapping recent segmental and gene duplications in eukaryotic genomes.
|
|---|---|
| Book title |
Gene Mapping, Discovery, and Expression
|
| Published in |
Methods in molecular biology, August 2006
|
| DOI | 10.1385/1-59745-097-9:9 |
| Pubmed ID | |
| Book ISBNs |
978-1-58829-575-0, 978-1-59745-097-3
|
| Authors |
Khaja R, MacDonald JR, Zhang J, Scherer SW, Razi Khaja, Jeffrey R. MacDonald, Junjun Zhang, Stephen W. Scherer, Khaja, Razi, MacDonald, Jeffrey R., Zhang, Junjun, Scherer, Stephen W. |
| Abstract |
The aim of this chapter is to provide instruction for analyzing and mapping recent segmental and gene duplications in eukaryotic genomes. We describe a bioinformatics-based approach utilizing computational tools to manage eukaryotic genome sequences to characterize and understand the evolutionary fates and trajectories of duplicated genes. An introduction to bioinformatics tools and programs such as BLAST, Perl, BioPerl, and the GFF specification provides the necessary background to complete this analysis for any eukaryotic genome of interest. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 30% |
| Student > Master | 8 | 20% |
| Researcher | 6 | 15% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 55% |
| Biochemistry, Genetics and Molecular Biology | 8 | 20% |
| Computer Science | 2 | 5% |
| Mathematics | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 3 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2021.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Methods in molecular biology
#2,316
of 13,094 outputs
Outputs of similar age
#22,792
of 65,544 outputs
Outputs of similar age from Methods in molecular biology
#1
of 4 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,094 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 65,544 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them