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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer
|
|---|---|
| Published in |
Genome Biology, May 2019
|
| DOI | 10.1186/s13059-019-1698-z |
| Pubmed ID | |
| Authors |
Andrew N. Holding, Federico M. Giorgi, Amanda Donnelly, Amy E. Cullen, Sankari Nagarajan, Luke A. Selth, Florian Markowetz |
X Demographics
The data shown below were collected from the profiles of 37 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 | 9 | 24% |
| United States | 8 | 22% |
| Italy | 2 | 5% |
| Germany | 1 | 3% |
| Mexico | 1 | 3% |
| Hong Kong | 1 | 3% |
| France | 1 | 3% |
| Switzerland | 1 | 3% |
| Austria | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 62% |
| Scientists | 12 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Student > Bachelor | 6 | 18% |
| Researcher | 3 | 9% |
| Other | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 33% |
| Agricultural and Biological Sciences | 4 | 12% |
| Medicine and Dentistry | 3 | 9% |
| Immunology and Microbiology | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 November 2019.
All research outputs
#1,509,697
of 25,385,509 outputs
Outputs from Genome Biology
#1,213
of 4,468 outputs
Outputs of similar age
#33,302
of 365,208 outputs
Outputs of similar age from Genome Biology
#35
of 61 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 72% 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 365,208 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 90% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.