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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementing a genomic data management system using iRODS in the Wellcome Trust Sanger Institute
|
|---|---|
| Published in |
BMC Bioinformatics, September 2011
|
| DOI | 10.1186/1471-2105-12-361 |
| Pubmed ID | |
| Authors |
Gen-Tao Chiang, Peter Clapham, Guoying Qi, Kevin Sale, Guy Coates |
| Abstract |
Increasingly large amounts of DNA sequencing data are being generated within the Wellcome Trust Sanger Institute (WTSI). The traditional file system struggles to handle these increasing amounts of sequence data. A good data management system therefore needs to be implemented and integrated into the current WTSI infrastructure. Such a system enables good management of the IT infrastructure of the sequencing pipeline and allows biologists to track their data. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| Sweden | 2 | 17% |
| Bosnia and Herzegovina | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Unknown | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 4 | 3% |
| Sweden | 3 | 3% |
| France | 2 | 2% |
| Netherlands | 2 | 2% |
| Germany | 2 | 2% |
| Luxembourg | 2 | 2% |
| Argentina | 1 | <1% |
| Italy | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 94 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 40% |
| Student > Ph. D. Student | 15 | 13% |
| Other | 10 | 9% |
| Student > Master | 10 | 9% |
| Student > Doctoral Student | 8 | 7% |
| Other | 16 | 14% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 42% |
| Computer Science | 28 | 24% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Engineering | 7 | 6% |
| Medicine and Dentistry | 6 | 5% |
| Other | 8 | 7% |
| Unknown | 10 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 06 August 2020.
All research outputs
#2,322,343
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#620
of 7,454 outputs
Outputs of similar age
#11,469
of 128,105 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 84 outputs
Altmetric has tracked 23,881,329 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 7,454 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 91% 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 128,105 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 91% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.