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Mendeley readers
Attention Score in Context
| Title |
Next generation tools for genomic data generation, distribution, and visualization
|
|---|---|
| Published in |
BMC Bioinformatics, September 2010
|
| DOI | 10.1186/1471-2105-11-455 |
| Pubmed ID | |
| Authors |
David A Nix, Tonya L Di Sera, Brian K Dalley, Brett A Milash, Robert M Cundick, Kevin S Quinn, Samir J Courdy |
| Abstract |
With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the laboratory and clinic is shifting to one of effectively managing, analyzing, and sharing genomic data. |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 6% |
| Germany | 5 | 3% |
| France | 4 | 3% |
| Sweden | 3 | 2% |
| China | 3 | 2% |
| Italy | 2 | 1% |
| Norway | 1 | <1% |
| Lithuania | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 111 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 36% |
| Student > Ph. D. Student | 27 | 18% |
| Professor > Associate Professor | 18 | 12% |
| Student > Master | 15 | 10% |
| Other | 8 | 5% |
| Other | 16 | 11% |
| Unknown | 10 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 61% |
| Computer Science | 14 | 10% |
| Engineering | 10 | 7% |
| Biochemistry, Genetics and Molecular Biology | 8 | 5% |
| Medicine and Dentistry | 3 | 2% |
| Other | 13 | 9% |
| Unknown | 9 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 July 2013.
All research outputs
#5,500,307
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#1,994
of 7,234 outputs
Outputs of similar age
#26,398
of 95,128 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 47 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,234 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 gotten more attention than average, scoring higher than 71% 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 95,128 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 47 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 68% of its contemporaries.