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X Demographics
Mendeley readers
Attention Score in Context
| Title |
puma: a Bioconductor package for propagating uncertainty in microarray analysis
|
|---|---|
| Published in |
BMC Bioinformatics, July 2009
|
| DOI | 10.1186/1471-2105-10-211 |
| Pubmed ID | |
| Authors |
Richard D Pearson, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D Lawrence, Magnus Rattray |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 9 | 10% |
| Germany | 3 | 3% |
| United States | 2 | 2% |
| France | 1 | 1% |
| Portugal | 1 | 1% |
| Japan | 1 | 1% |
| Chile | 1 | 1% |
| Unknown | 75 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 39% |
| Student > Ph. D. Student | 22 | 24% |
| Professor > Associate Professor | 8 | 9% |
| Other | 7 | 8% |
| Professor | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 47% |
| Computer Science | 16 | 17% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Medicine and Dentistry | 6 | 6% |
| Engineering | 5 | 5% |
| Other | 8 | 9% |
| Unknown | 7 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 May 2016.
All research outputs
#15,357,941
of 22,846,662 outputs
Outputs from BMC Bioinformatics
#5,379
of 7,289 outputs
Outputs of similar age
#93,397
of 110,025 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 33 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,289 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 110,025 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.