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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNMT and HDAC inhibitors induce cryptic transcription start sites encoded in long terminal repeats
|
|---|---|
| Published in |
Nature Genetics, June 2017
|
| DOI | 10.1038/ng.3889 |
| Pubmed ID | |
| Authors |
David Brocks, Christopher R Schmidt, Michael Daskalakis, Hyo Sik Jang, Nakul M Shah, Daofeng Li, Jing Li, Bo Zhang, Yiran Hou, Sara Laudato, Daniel B Lipka, Johanna Schott, Holger Bierhoff, Yassen Assenov, Monika Helf, Alzbeta Ressnerova, Md Saiful Islam, Anders M Lindroth, Simon Haas, Marieke Essers, Charles D Imbusch, Benedikt Brors, Ina Oehme, Olaf Witt, Michael Lübbert, Jan-Philipp Mallm, Karsten Rippe, Rainer Will, Dieter Weichenhan, Georg Stoecklin, Clarissa Gerhäuser, Christopher C Oakes, Ting Wang, Christoph Plass |
X Demographics
The data shown below were collected from the profiles of 46 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 | 13 | 28% |
| United Kingdom | 5 | 11% |
| France | 3 | 7% |
| Germany | 2 | 4% |
| Japan | 1 | 2% |
| India | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 20 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 22 | 48% |
| Members of the public | 22 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 362 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 90 | 25% |
| Researcher | 69 | 19% |
| Student > Master | 27 | 7% |
| Student > Bachelor | 26 | 7% |
| Other | 20 | 5% |
| Other | 68 | 19% |
| Unknown | 64 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 137 | 38% |
| Agricultural and Biological Sciences | 84 | 23% |
| Medicine and Dentistry | 35 | 10% |
| Immunology and Microbiology | 6 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 2% |
| Other | 30 | 8% |
| Unknown | 66 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 96. 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 17 October 2023.
All research outputs
#447,314
of 25,837,817 outputs
Outputs from Nature Genetics
#899
of 7,639 outputs
Outputs of similar age
#9,303
of 334,376 outputs
Outputs of similar age from Nature Genetics
#23
of 74 outputs
Altmetric has tracked 25,837,817 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 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 87% 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 334,376 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 96% of its contemporaries.
We're also able to compare this research output to 74 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 68% of its contemporaries.