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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CloudMan as a platform for tool, data, and analysis distribution
|
|---|---|
| Published in |
BMC Bioinformatics, November 2012
|
| DOI | 10.1186/1471-2105-13-315 |
| Pubmed ID | |
| Authors |
Enis Afgan, Brad Chapman, James Taylor |
| Abstract |
Cloud computing provides an infrastructure that facilitates large scale computational analysis in a scalable, democratized fashion, However, in this context it is difficult to ensure sharing of an analysis environment and associated data in a scalable and precisely reproducible way. |
X Demographics
The data shown below were collected from the profiles of 25 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 | 4 | 16% |
| Canada | 2 | 8% |
| Germany | 2 | 8% |
| France | 1 | 4% |
| Bosnia and Herzegovina | 1 | 4% |
| New Zealand | 1 | 4% |
| Hong Kong | 1 | 4% |
| Comoros | 1 | 4% |
| United Kingdom | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 7 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 9 | 36% |
| Science communicators (journalists, bloggers, editors) | 3 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 11% |
| United Kingdom | 3 | 4% |
| Belgium | 2 | 2% |
| Sweden | 1 | 1% |
| Australia | 1 | 1% |
| Japan | 1 | 1% |
| Israel | 1 | 1% |
| Unknown | 67 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 42% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 6 | 7% |
| Other | 5 | 6% |
| Other | 15 | 18% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 54% |
| Computer Science | 19 | 22% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Medicine and Dentistry | 3 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 5 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 02 October 2013.
All research outputs
#1,327,910
of 24,172,513 outputs
Outputs from BMC Bioinformatics
#171
of 7,508 outputs
Outputs of similar age
#11,236
of 285,141 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 102 outputs
Altmetric has tracked 24,172,513 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,508 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 97% 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 285,141 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 96% of its contemporaries.
We're also able to compare this research output to 102 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 98% of its contemporaries.