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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome build information is an essential part of genomic track files
|
|---|---|
| Published in |
Genome Biology, September 2017
|
| DOI | 10.1186/s13059-017-1312-1 |
| Pubmed ID | |
| Authors |
Chakravarthi Kanduri, Diana Domanska, Eivind Hovig, Geir Kjetil Sandve |
| Abstract |
Genomic locations are represented as coordinates on a specific genome build version, but the build information is frequently missing when coordinates are provided. We show that this information is essential to correctly interpret and analyse the genomic intervals contained in genomic track files. Although not a substitute for best practices, we also provide a tool to predict the genome build version of genomic track files. |
X Demographics
The data shown below were collected from the profiles of 61 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 States | 14 | 23% |
| United Kingdom | 8 | 13% |
| Canada | 3 | 5% |
| France | 3 | 5% |
| Germany | 3 | 5% |
| Australia | 2 | 3% |
| Norway | 2 | 3% |
| Netherlands | 1 | 2% |
| Sweden | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 20 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 54% |
| Scientists | 27 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 50% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Master | 3 | 15% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 55% |
| Biochemistry, Genetics and Molecular Biology | 6 | 30% |
| Mathematics | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 09 February 2020.
All research outputs
#1,319,977
of 25,721,020 outputs
Outputs from Genome Biology
#1,006
of 4,507 outputs
Outputs of similar age
#25,796
of 324,460 outputs
Outputs of similar age from Genome Biology
#23
of 57 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 77% 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 324,460 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 57 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 59% of its contemporaries.