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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classifying leukemia types with chromatin conformation data
|
|---|---|
| Published in |
Genome Biology, April 2014
|
| DOI | 10.1186/gb-2014-15-4-r60 |
| Pubmed ID | |
| Authors |
Mathieu Rousseau, Maria A Ferraiuolo, Jennifer L Crutchley, Xue Qing David Wang, Hisashi Miura, Mathieu Blanchette, Josée Dostie |
| Abstract |
Although genetic or epigenetic alterations have been shown to affect the three-dimensional organization of genomes, the utility of chromatin conformation in the classification of human disease has never been addressed. |
X Demographics
The data shown below were collected from the profiles of 27 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 | 5 | 19% |
| United Kingdom | 5 | 19% |
| Switzerland | 2 | 7% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Argentina | 1 | 4% |
| Germany | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 11 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 63% |
| Scientists | 8 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| United Kingdom | 3 | 2% |
| Netherlands | 1 | <1% |
| Greece | 1 | <1% |
| Unknown | 110 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 24% |
| Researcher | 27 | 22% |
| Student > Bachelor | 15 | 12% |
| Professor > Associate Professor | 11 | 9% |
| Student > Master | 9 | 7% |
| Other | 15 | 12% |
| Unknown | 15 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 41% |
| Biochemistry, Genetics and Molecular Biology | 29 | 24% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 7 | 6% |
| Engineering | 3 | 2% |
| Other | 6 | 5% |
| Unknown | 18 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 93. 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 29 December 2014.
All research outputs
#454,431
of 25,373,627 outputs
Outputs from Genome Biology
#247
of 4,467 outputs
Outputs of similar age
#3,910
of 241,759 outputs
Outputs of similar age from Genome Biology
#1
of 38 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 94% 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 241,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.