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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct roles of DNMT1-dependent and DNMT1-independent methylation patterns in the genome of mouse embryonic stem cells
|
|---|---|
| Published in |
Genome Biology, June 2015
|
| DOI | 10.1186/s13059-015-0685-2 |
| Pubmed ID | |
| Authors |
Zhiguang Li, Hongzheng Dai, Suzanne N. Martos, Beisi Xu, Yang Gao, Teng Li, Guangjing Zhu, Dustin E. Schones, Zhibin Wang |
X Demographics
The data shown below were collected from the profiles of 16 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 | 3 | 19% |
| France | 2 | 13% |
| Belgium | 1 | 6% |
| United States | 1 | 6% |
| Spain | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 4 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Croatia | 1 | <1% |
| Unknown | 116 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 28% |
| Student > Ph. D. Student | 23 | 20% |
| Student > Bachelor | 15 | 13% |
| Student > Master | 9 | 8% |
| Student > Doctoral Student | 5 | 4% |
| Other | 19 | 16% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 42% |
| Agricultural and Biological Sciences | 40 | 34% |
| Computer Science | 5 | 4% |
| Medicine and Dentistry | 4 | 3% |
| Neuroscience | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 12 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 08 June 2015.
All research outputs
#2,485,631
of 25,374,647 outputs
Outputs from Genome Biology
#2,018
of 4,467 outputs
Outputs of similar age
#31,196
of 282,057 outputs
Outputs of similar age from Genome Biology
#32
of 64 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 gotten more attention than average, scoring higher than 54% 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 282,057 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 88% of its contemporaries.
We're also able to compare this research output to 64 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 50% of its contemporaries.