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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association study implicates novel loci and reveals candidate effector genes for longitudinal pediatric bone accrual
|
|---|---|
| Published in |
Genome Biology, January 2021
|
| DOI | 10.1186/s13059-020-02207-9 |
| Pubmed ID | |
| Authors |
Diana L. Cousminer, Yadav Wagley, James A. Pippin, Ahmed Elhakeem, Gregory P. Way, Matthew C. Pahl, Shana E. McCormack, Alessandra Chesi, Jonathan A. Mitchell, Joseph M. Kindler, Denis Baird, April Hartley, Laura Howe, Heidi J. Kalkwarf, Joan M. Lappe, Sumei Lu, Michelle E. Leonard, Matthew E. Johnson, Hakon Hakonarson, Vicente Gilsanz, John A. Shepherd, Sharon E. Oberfield, Casey S. Greene, Andrea Kelly, Deborah A. Lawlor, Benjamin F. Voight, Andrew D. Wells, Babette S. Zemel, Kurt D. Hankenson, Struan F. A. Grant |
X Demographics
The data shown below were collected from the profiles of 27 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 | 8 | 30% |
| United Kingdom | 3 | 11% |
| Argentina | 1 | 4% |
| China | 1 | 4% |
| Portugal | 1 | 4% |
| Spain | 1 | 4% |
| Georgia | 1 | 4% |
| France | 1 | 4% |
| Unknown | 10 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 48% |
| Scientists | 12 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Professor > Associate Professor | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 10 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Medicine and Dentistry | 5 | 17% |
| Computer Science | 3 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 25 February 2021.
All research outputs
#571,650
of 25,998,826 outputs
Outputs from Genome Biology
#338
of 4,520 outputs
Outputs of similar age
#16,093
of 531,311 outputs
Outputs of similar age from Genome Biology
#9
of 86 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 92% 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 531,311 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 96% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.