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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Ruby UCSC API: accessing the UCSC genome database using Ruby
|
|---|---|
| Published in |
BMC Bioinformatics, September 2012
|
| DOI | 10.1186/1471-2105-13-240 |
| Pubmed ID | |
| Authors |
Hiroyuki Mishima, Jan Aerts, Toshiaki Katayama, Raoul J P Bonnal, Koh-ichiro Yoshiura |
| Abstract |
The University of California, Santa Cruz (UCSC) genome database is among the most used sources of genomic annotation in human and other organisms. The database offers an excellent web-based graphical user interface (the UCSC genome browser) and several means for programmatic queries. A simple application programming interface (API) in a scripting language aimed at the biologist was however not yet available. Here, we present the Ruby UCSC API, a library to access the UCSC genome database using Ruby. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 23% |
| France | 2 | 15% |
| United States | 2 | 15% |
| Australia | 1 | 8% |
| India | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 5 | 38% |
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 % |
|---|---|---|
| Japan | 4 | 14% |
| Spain | 1 | 4% |
| Belgium | 1 | 4% |
| Unknown | 22 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 29% |
| Student > Bachelor | 5 | 18% |
| Student > Ph. D. Student | 4 | 14% |
| Professor > Associate Professor | 3 | 11% |
| Professor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 36% |
| Computer Science | 5 | 18% |
| Engineering | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Chemistry | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 12 November 2012.
All research outputs
#3,458,579
of 24,666,614 outputs
Outputs from BMC Bioinformatics
#1,160
of 7,565 outputs
Outputs of similar age
#23,414
of 176,891 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 107 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,565 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 176,891 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.