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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High resolution profiling of human exon methylation by liquid hybridization capture-based bisulfite sequencing
|
|---|---|
| Published in |
BMC Genomics, December 2011
|
| DOI | 10.1186/1471-2164-12-597 |
| Pubmed ID | |
| Authors |
Junwen Wang, Hui Jiang, Guanyu Ji, Fei Gao, Mingzhi Wu, Jihua Sun, Huijuan Luo, Jinghua Wu, Renhua Wu, Xiuqing Zhang |
| Abstract |
DNA methylation plays important roles in gene regulation during both normal developmental and disease states. In the past decade, a number of methods have been developed and applied to characterize the genome-wide distribution of DNA methylation. Most of these methods endeavored to screen whole genome and turned to be enormously costly and time consuming for studies of the complex mammalian genome. Thus, they are not practical for researchers to study multiple clinical samples in biomarker research. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 32% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Bachelor | 5 | 8% |
| Professor | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 40% |
| Biochemistry, Genetics and Molecular Biology | 11 | 18% |
| Medicine and Dentistry | 6 | 10% |
| Psychology | 3 | 5% |
| Neuroscience | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 7 | 12% |
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 02 November 2016.
All research outputs
#6,376,970
of 22,659,164 outputs
Outputs from BMC Genomics
#2,863
of 10,610 outputs
Outputs of similar age
#56,888
of 240,849 outputs
Outputs of similar age from BMC Genomics
#75
of 302 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,610 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 71% 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 240,849 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 74% of its contemporaries.
We're also able to compare this research output to 302 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.