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Mendeley readers
Attention Score in Context
| Title |
Using caching and optimization techniques to improve performance of the Ensembl website
|
|---|---|
| Published in |
BMC Bioinformatics, May 2010
|
| DOI | 10.1186/1471-2105-11-239 |
| Pubmed ID | |
| Authors |
Anne Parker, Eugene Bragin, Simon Brent, Bethan Pritchard, James A Smith, Stephen Trevanion |
| Abstract |
The Ensembl web site has provided access to genomic information for almost 10 years. During this time the amount of data available through Ensembl has grown dramatically. At the same time, the World Wide Web itself has become a dramatically more important component of the scientific workflow and the way that scientists share and access data and scientific information. Since 2000, the Ensembl web interface has had three major updates and numerous smaller updates. These have largely been in response to expanding data types and valuable representations of existing data types. In 2007 it was realised that a radical new approach would be required in order to serve the project's future requirements, and development therefore focused on identifying suitable web technologies for implementation in the 2008 site redesign. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| France | 1 | 2% |
| Brazil | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| Belgium | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 37 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Master | 7 | 16% |
| Student > Bachelor | 6 | 14% |
| Other | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Other | 10 | 23% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 30% |
| Agricultural and Biological Sciences | 12 | 27% |
| Medicine and Dentistry | 7 | 16% |
| Engineering | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 2 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 11 May 2010.
All research outputs
#4,655,198
of 22,705,019 outputs
Outputs from BMC Bioinformatics
#1,801
of 7,254 outputs
Outputs of similar age
#19,837
of 94,943 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 69 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 94,943 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 79% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.