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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Screening a UK amyotrophic lateral sclerosis cohort provides evidence of multiple origins of the C9orf72 expansion
|
|---|---|
| Published in |
Neurobiology of Aging, August 2014
|
| DOI | 10.1016/j.neurobiolaging.2014.07.037 |
| Pubmed ID | |
| Authors |
Pietro Fratta, James M. Polke, Jia Newcombe, Sarah Mizielinska, Tammaryn Lashley, Mark Poulter, Jon Beck, Elisavet Preza, Anny Devoy, Katie Sidle, Robin Howard, Andrea Malaspina, Richard W. Orrell, Jan Clarke, Ching-Hua Lu, Kin Mok, Toby Collins, Maryam Shoaii, Tina Nanji, Selina Wray, Gary Adamson, Alan Pittman, Alan E. Renton, Bryan J. Traynor, Mary G. Sweeney, Tamas Revesz, Henry Houlden, Simon Mead, Adrian M. Isaacs, Elizabeth M.C. Fisher |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Colombia | 1 | <1% |
| Unknown | 106 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 36% |
| Student > Bachelor | 12 | 11% |
| Student > Master | 8 | 7% |
| Researcher | 7 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 21 | 19% |
| Unknown | 17 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 22% |
| Neuroscience | 22 | 20% |
| Biochemistry, Genetics and Molecular Biology | 18 | 17% |
| Medicine and Dentistry | 10 | 9% |
| Nursing and Health Professions | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 20 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 September 2015.
All research outputs
#7,409,480
of 26,017,215 outputs
Outputs from Neurobiology of Aging
#2,391
of 4,511 outputs
Outputs of similar age
#64,767
of 243,389 outputs
Outputs of similar age from Neurobiology of Aging
#29
of 88 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 46th percentile – i.e., 46% 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 243,389 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 72% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.