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X Demographics
Mendeley readers
Attention Score in Context
| Title |
3-D DNA methylation phenotypes correlate with cytotoxicity levels in prostate and liver cancer cell models
|
|---|---|
| Published in |
BMC Pharmacology and Toxicology, February 2013
|
| DOI | 10.1186/2050-6511-14-11 |
| Pubmed ID | |
| Authors |
Arkadiusz Gertych, Jin Ho Oh, Kolja A Wawrowsky, Daniel J Weisenberger, Jian Tajbakhsh |
| Abstract |
The spatial organization of the genome is being evaluated as a novel indicator of toxicity in conjunction with drug-induced global DNA hypomethylation and concurrent chromatin reorganization. 3D quantitative DNA methylation imaging (3D-qDMI) was applied as a cell-by-cell high-throughput approach to investigate this matter by assessing genome topology through represented immunofluorescent nuclear distribution patterns of 5-methylcytosine (MeC) and global DNA (4,6-diamidino-2-phenylindole = DAPI) in labeled nuclei. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 5% |
| United States | 1 | 5% |
| Belgium | 1 | 5% |
| Unknown | 19 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 27% |
| Student > Master | 3 | 14% |
| Professor > Associate Professor | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 32% |
| Medicine and Dentistry | 3 | 14% |
| Computer Science | 2 | 9% |
| Engineering | 2 | 9% |
| Chemistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 27 September 2023.
All research outputs
#4,100,620
of 24,580,204 outputs
Outputs from BMC Pharmacology and Toxicology
#68
of 465 outputs
Outputs of similar age
#42,958
of 297,255 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#4
of 15 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 465 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 85% 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 297,255 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.