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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reassessing the risk of natalizumab-associated PML
|
|---|---|
| Published in |
Journal of NeuroVirology, February 2016
|
| DOI | 10.1007/s13365-016-0427-6 |
| Pubmed ID | |
| Authors |
Joseph R. Berger, Robert J. Fox |
| Abstract |
The risk algorithm for natalizumab-associated PML was first established in 2012 using the observations that JC virus antibody status, prolonged duration of natalizumab therapy (>2 years), and prior exposure to immunosuppressive therapy increased the risk for the disease. Prior to the publication of Biogen's algorithm, a risk algorithm was created by Fox and Rudick using an Excel spreadsheet in order to address the concerns of their patients. Applying the most recently available data regarding natalizumab-associated PML, the risk assessments for PML were recalculated. The current numbers indicate substantially higher risks for PML in 2015 than in 2012. Our calculations suggest that an individual having all three risk factors has an approximately 1 in 44 chance of developing PML. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| United States | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 63 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 22% |
| Student > Bachelor | 9 | 13% |
| Student > Master | 7 | 10% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Postgraduate | 6 | 9% |
| Other | 15 | 22% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 43% |
| Neuroscience | 7 | 10% |
| Immunology and Microbiology | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 6% |
| Psychology | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 13 | 19% |
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 10 September 2016.
All research outputs
#3,194,748
of 22,842,950 outputs
Outputs from Journal of NeuroVirology
#72
of 928 outputs
Outputs of similar age
#59,996
of 397,089 outputs
Outputs of similar age from Journal of NeuroVirology
#2
of 19 outputs
Altmetric has tracked 22,842,950 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 928 research outputs from this source. They receive a mean Attention Score of 4.2. 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 397,089 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 84% of its contemporaries.
We're also able to compare this research output to 19 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.