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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Ensembl Genome Browser: Strategies for Accessing Eukaryotic Genome Data
|
|---|---|
| Chapter number | 6 |
| Book title |
Eukaryotic Genomic Databases
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7737-6_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7736-9, 978-1-4939-7737-6
|
| Authors |
Victoria Newman, Benjamin Moore, Helen Sparrow, Emily Perry, Newman, Victoria, Moore, Benjamin, Sparrow, Helen, Perry, Emily |
| Abstract |
The Ensembl Genome Browser provides a wealth of freely available genomic data that can be accessed for many purposes by genetics, genomics, and molecular biology researchers. Herein we present two protocols for exploring different aspects of these data: a phenotype and its associated variants and genes, and a promoter and the epigenetic marks and protein-binding activity associated with it. These workflows illustrate a subset of the data types available through the Ensembl Browser, and can be considered a springboard for further exploration. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| Guinea | 1 | 14% |
| India | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Professor | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Master | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 11 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 22% |
| Agricultural and Biological Sciences | 6 | 22% |
| Medicine and Dentistry | 3 | 11% |
| Computer Science | 1 | 4% |
| Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 May 2018.
All research outputs
#6,799,046
of 23,057,470 outputs
Outputs from Methods in molecular biology
#2,028
of 13,196 outputs
Outputs of similar age
#135,897
of 442,487 outputs
Outputs of similar age from Methods in molecular biology
#189
of 1,499 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 442,487 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 69% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.