You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
ABrowse - a customizable next-generation genome browser framework
|
|---|---|
| Published in |
BMC Bioinformatics, January 2012
|
| DOI | 10.1186/1471-2105-13-2 |
| Pubmed ID | |
| Authors |
Lei Kong, Jun Wang, Shuqi Zhao, Xiaocheng Gu, Jingchu Luo, Ge Gao |
| Abstract |
With the rapid growth of genome sequencing projects, genome browser is becoming indispensable, not only as a visualization system but also as an interactive platform to support open data access and collaborative work. Thus a customizable genome browser framework with rich functions and flexible configuration is needed to facilitate various genome research projects. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| United Kingdom | 2 | 22% |
| Germany | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| Spain | 3 | 3% |
| Sweden | 2 | 2% |
| Netherlands | 2 | 2% |
| Australia | 1 | <1% |
| Norway | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 83 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 35% |
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 11 | 11% |
| Professor | 7 | 7% |
| Professor > Associate Professor | 7 | 7% |
| Other | 20 | 20% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 50% |
| Computer Science | 14 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Medicine and Dentistry | 6 | 6% |
| Engineering | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 7 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 22 October 2012.
All research outputs
#2,186,516
of 23,340,595 outputs
Outputs from BMC Bioinformatics
#582
of 7,388 outputs
Outputs of similar age
#16,912
of 246,130 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 94 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,388 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 particularly well, scoring higher than 92% 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 246,130 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 93% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.