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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exposure time independent summary statistics for assessment of drug dependent cell line growth inhibition
|
|---|---|
| Published in |
BMC Bioinformatics, June 2014
|
| DOI | 10.1186/1471-2105-15-168 |
| Pubmed ID | |
| Authors |
Steffen Falgreen, Maria Bach Laursen, Julie Støve Bødker, Malene Krag Kjeldsen, Alexander Schmitz, Mette Nyegaard, Hans Erik Johnsen, Karen Dybkær, Martin Bøgsted |
| Abstract |
In vitro generated dose-response curves of human cancer cell lines are widely used to develop new therapeutics. The curves are summarised by simplified statistics that ignore the conventionally used dose-response curves' dependency on drug exposure time and growth kinetics. This may lead to suboptimal exploitation of data and biased conclusions on the potential of the drug in question. Therefore we set out to improve the dose-response assessments by eliminating the impact of time dependency. |
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 % |
|---|---|---|
| Norway | 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 2 | 4% |
| Unknown | 52 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 33% |
| Student > Master | 10 | 19% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Bachelor | 6 | 11% |
| Other | 4 | 7% |
| Other | 5 | 9% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 26% |
| Medicine and Dentistry | 9 | 17% |
| Agricultural and Biological Sciences | 9 | 17% |
| Computer Science | 7 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 9% |
| Other | 8 | 15% |
| Unknown | 2 | 4% |
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 05 June 2014.
All research outputs
#20,231,392
of 22,757,090 outputs
Outputs from BMC Bioinformatics
#6,844
of 7,272 outputs
Outputs of similar age
#192,989
of 228,027 outputs
Outputs of similar age from BMC Bioinformatics
#143
of 155 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,272 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 1st percentile – i.e., 1% 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 228,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.