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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel ATAC-seq approach reveals lineage-specific reinforcement of the open chromatin landscape via cooperation between BAF and p63
|
|---|---|
| Published in |
Genome Biology, December 2015
|
| DOI | 10.1186/s13059-015-0840-9 |
| Pubmed ID | |
| Authors |
Xiaomin Bao, Adam J. Rubin, Kun Qu, Jiajing Zhang, Paul G. Giresi, Howard Y. Chang, Paul A. Khavari |
X Demographics
The data shown below were collected from the profiles of 17 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 | 4 | 24% |
| France | 2 | 12% |
| United States | 2 | 12% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| United Kingdom | 3 | <1% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 299 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 91 | 29% |
| Researcher | 69 | 22% |
| Student > Master | 28 | 9% |
| Student > Bachelor | 27 | 9% |
| Student > Doctoral Student | 16 | 5% |
| Other | 34 | 11% |
| Unknown | 46 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 107 | 34% |
| Agricultural and Biological Sciences | 105 | 34% |
| Medicine and Dentistry | 12 | 4% |
| Neuroscience | 8 | 3% |
| Computer Science | 7 | 2% |
| Other | 22 | 7% |
| Unknown | 50 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 21 January 2016.
All research outputs
#3,147,355
of 25,837,817 outputs
Outputs from Genome Biology
#2,320
of 4,513 outputs
Outputs of similar age
#49,381
of 397,656 outputs
Outputs of similar age from Genome Biology
#52
of 76 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 48th percentile – i.e., 48% 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 397,656 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 87% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.