You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The utility of MAS5 expression summary and detection call algorithms
|
|---|---|
| Published in |
BMC Bioinformatics, July 2007
|
| DOI | 10.1186/1471-2105-8-273 |
| Pubmed ID | |
| Authors |
Stuart D Pepper, Emma K Saunders, Laura E Edwards, Claire L Wilson, Crispin J Miller |
| Abstract |
Used alone, the MAS5.0 algorithm for generating expression summaries has been criticized for high False Positive rates resulting from exaggerated variance at low intensities. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| United States | 3 | 3% |
| France | 2 | 2% |
| Germany | 2 | 2% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Tunisia | 1 | <1% |
| Netherlands | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 96 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 28% |
| Researcher | 30 | 27% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 10 | 9% |
| Professor > Associate Professor | 7 | 6% |
| Other | 18 | 16% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 55% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Computer Science | 10 | 9% |
| Medicine and Dentistry | 7 | 6% |
| Environmental Science | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 5 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 December 2021.
All research outputs
#7,207,053
of 22,780,165 outputs
Outputs from BMC Bioinformatics
#2,859
of 7,277 outputs
Outputs of similar age
#23,889
of 67,079 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 45 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,277 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 59% 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 67,079 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 63% of its contemporaries.
We're also able to compare this research output to 45 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 66% of its contemporaries.