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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterisation of genetic regulatory effects for osteoporosis risk variants in human osteoclasts
|
|---|---|
| Published in |
Genome Biology, March 2020
|
| DOI | 10.1186/s13059-020-01997-2 |
| Pubmed ID | |
| Authors |
Benjamin H. Mullin, Jennifer Tickner, Kun Zhu, Jacob Kenny, Shelby Mullin, Suzanne J. Brown, Frank Dudbridge, Nathan J. Pavlos, Edward S. Mocarski, John P. Walsh, Jiake Xu, Scott G. Wilson |
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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
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 > Doctoral Student | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 15 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 4 | 13% |
| Engineering | 2 | 6% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 19 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 01 April 2020.
All research outputs
#3,417,658
of 25,387,668 outputs
Outputs from Genome Biology
#2,428
of 4,470 outputs
Outputs of similar age
#79,213
of 392,983 outputs
Outputs of similar age from Genome Biology
#57
of 72 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 45th percentile – i.e., 45% 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 392,983 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.