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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Paediatric leukaemia DNA methylation profiling using MBD enrichment and SOLiD sequencing on archival bone marrow smears
|
|---|---|
| Published in |
Giga Science, March 2015
|
| DOI | 10.1186/s13742-015-0050-0 |
| Pubmed ID | |
| Authors |
Nicholas CL Wong, Gavin D Meredith, George Marnellos, Miroslav Dudas, Mandy Parkinson-Bates, Minhee Suh Halemba, Zac Chatterton, Jovana Maksimovic, David M Ashley, Francoise Mechinaud, Jeffrey M Craig, Richard Saffery |
| Abstract |
Acute Lymphoblastic Leukaemia (ALL) is the most common cancer in children. Over the past four decades, research has advanced the treatment of this cancer from a less than 60% chance of survival to over 85% today. The causal molecular mechanisms remain unclear. Here, we performed sequencing-based genomic DNA methylation profiling of eight paediatric ALL patients using archived bone marrow smear microscope slides. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 40% |
| United States | 1 | 20% |
| Hong Kong | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 33% |
| Other | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Librarian | 2 | 7% |
| Lecturer | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Medicine and Dentistry | 4 | 15% |
| Agricultural and Biological Sciences | 3 | 11% |
| Computer Science | 2 | 7% |
| Environmental Science | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 8 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2019.
All research outputs
#8,186,962
of 25,965,655 outputs
Outputs from Giga Science
#1,006
of 1,184 outputs
Outputs of similar age
#92,947
of 292,469 outputs
Outputs of similar age from Giga Science
#15
of 17 outputs
Altmetric has tracked 25,965,655 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one is in the 14th percentile – i.e., 14% 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 292,469 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.