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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A genome-wide association scan (GWAS) for mean telomere length within the COGS project: identified loci show little association with hormone-related cancer risk
|
|---|---|
| Published in |
Human Molecular Genetics, July 2013
|
| DOI | 10.1093/hmg/ddt355 |
| Pubmed ID | |
| Authors |
Karen A. Pooley, Stig E. Bojesen, Maren Weischer, Sune F. Nielsen, Deborah Thompson, Ali Amin Al Olama, Kyriaki Michailidou, Jonathan P. Tyrer, Sara Benlloch, Judith Brown, Tina Audley, Robert Luben, K-T Khaw, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Zsofia Kote-Jarai, Caroline Baynes, Mitul Shah, Manjeet K. Bolla, Qin Wang, Joe Dennis, Ed Dicks, Rongxi Yang, Anja Rudolph, Joellen Schildkraut, Jenny Chang-Claude, Barbara Burwinkel, Georgia Chenevix-Trench, Paul D. P. Pharoah, Andrew Berchuck, Rosalind A. Eeles, Douglas F. Easton, Alison M. Dunning, Børge G. Nordestgaard |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| United States | 2 | 1% |
| Japan | 1 | <1% |
| Unknown | 133 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 21% |
| Student > Ph. D. Student | 25 | 18% |
| Other | 17 | 12% |
| Professor | 17 | 12% |
| Student > Bachelor | 9 | 6% |
| Other | 24 | 17% |
| Unknown | 19 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 20% |
| Medicine and Dentistry | 26 | 19% |
| Biochemistry, Genetics and Molecular Biology | 24 | 17% |
| Computer Science | 10 | 7% |
| Chemistry | 4 | 3% |
| Other | 23 | 16% |
| Unknown | 25 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 June 2014.
All research outputs
#16,046,765
of 25,371,288 outputs
Outputs from Human Molecular Genetics
#6,632
of 8,251 outputs
Outputs of similar age
#121,438
of 209,985 outputs
Outputs of similar age from Human Molecular Genetics
#63
of 107 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,251 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 18th percentile – i.e., 18% 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 209,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.