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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NORMA-Gene: A simple and robust method for qPCR normalization based on target gene data
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-250 |
| Pubmed ID | |
| Authors |
Lars-Henrik Heckmann, Peter B Sørensen, Paul Henning Krogh, Jesper G Sørensen |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Sweden | 2 | 2% |
| Norway | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Argentina | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 91 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 25% |
| Student > Master | 16 | 15% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Professor > Associate Professor | 8 | 8% |
| Other | 12 | 12% |
| Unknown | 23 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 49% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Medicine and Dentistry | 4 | 4% |
| Environmental Science | 2 | 2% |
| Mathematics | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 24 | 23% |
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 07 July 2011.
All research outputs
#15,563,090
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#4,581
of 7,763 outputs
Outputs of similar age
#91,028
of 129,950 outputs
Outputs of similar age from BMC Bioinformatics
#68
of 108 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 38th percentile – i.e., 38% 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 129,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.