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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TCF21 and AP-1 interact through epigenetic modifications to regulate coronary artery disease gene expression
|
|---|---|
| Published in |
Genome Medicine, April 2019
|
| DOI | 10.1186/s13073-019-0635-9 |
| Pubmed ID | |
| Authors |
Quanyi Zhao, Robert Wirka, Trieu Nguyen, Manabu Nagao, Paul Cheng, Clint L. Miller, Juyong Brian Kim, Milos Pjanic, Thomas Quertermous |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 22% |
| Student > Master | 6 | 19% |
| Researcher | 4 | 13% |
| Student > Doctoral Student | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 50% |
| Agricultural and Biological Sciences | 4 | 13% |
| Medicine and Dentistry | 3 | 9% |
| Neuroscience | 1 | 3% |
| Unknown | 8 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 December 2019.
All research outputs
#15,571,060
of 23,144,579 outputs
Outputs from Genome Medicine
#1,330
of 1,451 outputs
Outputs of similar age
#217,383
of 349,766 outputs
Outputs of similar age from Genome Medicine
#21
of 22 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 5th percentile – i.e., 5% 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 349,766 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.