| Title |
Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
|
|---|---|
| Published in |
BMC Pharmacology and Toxicology, November 2014
|
| DOI | 10.1186/2050-6511-15-66 |
| Pubmed ID | |
| Authors |
Anthony C Nichols, Morgan Black, John Yoo, Nicole Pinto, Andrew Fernandes, Benjamin Haibe-Kains, Paul C Boutros, John W Barrett |
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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 33% |
| Student > Bachelor | 7 | 14% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 27% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Medicine and Dentistry | 6 | 12% |
| Computer Science | 4 | 8% |
| Chemistry | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 6 | 12% |
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 06 August 2015.
All research outputs
#20,286,650
of 22,821,814 outputs
Outputs from BMC Pharmacology and Toxicology
#367
of 440 outputs
Outputs of similar age
#303,249
of 362,080 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#16
of 19 outputs
Altmetric has tracked 22,821,814 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 440 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 362,080 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 19 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.