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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Long Non-coding RNA, LOC157273, Is an Effector Transcript at the Chromosome 8p23.1-PPP1R3B Metabolic Traits and Type 2 Diabetes Risk Locus
|
|---|---|
| Published in |
Frontiers in Genetics, July 2020
|
| DOI | 10.3389/fgene.2020.00615 |
| Pubmed ID | |
| Authors |
Alisa K. Manning, Anton Scott Goustin, Erica L. Kleinbrink, Pattaraporn Thepsuwan, Juan Cai, Donghong Ju, Aaron Leong, Miriam S. Udler, James Bentley Brown, Mark O. Goodarzi, Jerome I. Rotter, Robert Sladek, James B. Meigs, Leonard Lipovich |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 18% |
| Student > Master | 2 | 12% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Medicine and Dentistry | 2 | 12% |
| Unspecified | 1 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 July 2020.
All research outputs
#7,643,729
of 23,942,830 outputs
Outputs from Frontiers in Genetics
#2,422
of 12,757 outputs
Outputs of similar age
#158,800
of 399,635 outputs
Outputs of similar age from Frontiers in Genetics
#80
of 408 outputs
Altmetric has tracked 23,942,830 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 12,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 399,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 408 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.