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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Niemann‐Pick type C Suspicion Index tool: analyses by age and association of manifestations
|
|---|---|
| Published in |
Journal of Inherited Metabolic Disease, June 2013
|
| DOI | 10.1007/s10545-013-9626-y |
| Pubmed ID | |
| Authors |
James E. Wraith, Frédéric Sedel, Mercèdes Pineda, Frits A. Wijburg, Christian J. Hendriksz, Michael Fahey, Mark Walterfang, Marc C. Patterson, Harbajan Chadha‐Boreham, Stefan A. Kolb |
| Abstract |
The Suspicion Index (SI) screening tool was developed to identify patients suspected of having Niemann-Pick disease type C (NP-C). The SI provides a risk prediction score (RPS) based on NP-C manifestations within and across domains (visceral, neurological, and psychiatric). The aim of these subanalyses was to further examine the discriminatory power of the SI by age and manifestation-associations by NP-C suspicion-level and leading manifestations. |
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 | 1 | 20% |
| Mexico | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 80 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Postgraduate | 8 | 10% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 21 | 26% |
| Unknown | 20 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 30% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Psychology | 5 | 6% |
| Agricultural and Biological Sciences | 4 | 5% |
| Neuroscience | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 27 | 33% |
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 13 September 2020.
All research outputs
#14,843,174
of 24,878,531 outputs
Outputs from Journal of Inherited Metabolic Disease
#1,372
of 1,970 outputs
Outputs of similar age
#109,767
of 202,128 outputs
Outputs of similar age from Journal of Inherited Metabolic Disease
#6
of 7 outputs
Altmetric has tracked 24,878,531 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,970 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 28th percentile – i.e., 28% 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 202,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.