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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional mapping of androgen receptor enhancer activity
|
|---|---|
| Published in |
Genome Biology, May 2021
|
| DOI | 10.1186/s13059-021-02339-6 |
| Pubmed ID | |
| Authors |
Chia-Chi Flora Huang, Shreyas Lingadahalli, Tunc Morova, Dogancan Ozturan, Eugene Hu, Ivan Pak Lok Yu, Simon Linder, Marlous Hoogstraat, Suzan Stelloo, Funda Sar, Henk van der Poel, Umut Berkay Altintas, Mohammadali Saffarzadeh, Stephane Le Bihan, Brian McConeghy, Bengul Gokbayrak, Felix Y. Feng, Martin E. Gleave, Andries M. Bergman, Colin Collins, Faraz Hach, Wilbert Zwart, Eldon Emberly, Nathan A. Lack |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 8 | 25% |
| United States | 8 | 25% |
| United Kingdom | 3 | 9% |
| Australia | 2 | 6% |
| Netherlands | 1 | 3% |
| Bolivia, Plurinational State of | 1 | 3% |
| France | 1 | 3% |
| Turkey | 1 | 3% |
| Unknown | 7 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 50% |
| Members of the public | 13 | 41% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Master | 4 | 8% |
| Other | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 17 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 35% |
| Agricultural and Biological Sciences | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Social Sciences | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 17 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 22 October 2021.
All research outputs
#1,698,794
of 25,473,687 outputs
Outputs from Genome Biology
#1,386
of 4,480 outputs
Outputs of similar age
#43,806
of 454,281 outputs
Outputs of similar age from Genome Biology
#48
of 97 outputs
Altmetric has tracked 25,473,687 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,480 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 69% 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 454,281 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 97 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 51% of its contemporaries.