| Title |
Assessing affymetrix GeneChip microarray quality
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-137 |
| Pubmed ID | |
| Authors |
Matthew N McCall, Peter N Murakami, Margus Lukk, Wolfgang Huber, Rafael A Irizarry |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| United Kingdom | 4 | 3% |
| Belgium | 2 | 1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Italy | 1 | <1% |
| China | 1 | <1% |
| Germany | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 117 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 28% |
| Student > Ph. D. Student | 29 | 21% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 10 | 7% |
| Student > Postgraduate | 7 | 5% |
| Other | 26 | 19% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 46% |
| Biochemistry, Genetics and Molecular Biology | 16 | 12% |
| Computer Science | 10 | 7% |
| Engineering | 9 | 7% |
| Medicine and Dentistry | 7 | 5% |
| Other | 17 | 13% |
| Unknown | 14 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 August 2011.
All research outputs
#15,144,403
of 23,292,144 outputs
Outputs from BMC Bioinformatics
#5,139
of 7,377 outputs
Outputs of similar age
#84,520
of 111,740 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 78 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,377 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 25th percentile – i.e., 25% 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 111,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.