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Mendeley readers
Attention Score in Context
Title |
Predictors for the 5-year risk of serious infections in patients with rheumatoid arthritis treated with anti-tumour necrosis factor therapy: a cohort study in the Dutch Rheumatoid Arthritis Monitoring (DREAM) registry
|
---|---|
Published in |
Rheumatology, January 2013
|
DOI | 10.1093/rheumatology/kes413 |
Pubmed ID | |
Authors |
Sanne A. A. van Dartel, Jaap Fransen, Wietske Kievit, Ellen A. J. Dutmer, Herman L. M. Brus, Nella M. Houtman, Mart A. F. van de Laar, Piet L. C. M. van Riel |
Abstract |
The use of TNF inhibitors leads to an increased risk of serious infections in RA. Predicting this risk would facilitate the prevention of serious infections. The objective of this study was to identify which factors are predictive of the increased risk of serious infections in RA patients treated with TNF inhibiting therapy. |
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 % |
---|---|---|
Australia | 2 | 33% |
Spain | 2 | 33% |
New Zealand | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 50% |
Members of the public | 2 | 33% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | 2% |
United Kingdom | 1 | 2% |
Argentina | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 56 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 18% |
Other | 8 | 13% |
Student > Ph. D. Student | 7 | 12% |
Student > Master | 6 | 10% |
Student > Postgraduate | 5 | 8% |
Other | 17 | 28% |
Unknown | 6 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 50% |
Psychology | 5 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
Agricultural and Biological Sciences | 3 | 5% |
Immunology and Microbiology | 2 | 3% |
Other | 7 | 12% |
Unknown | 9 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 July 2017.
All research outputs
#4,451,763
of 22,694,633 outputs
Outputs from Rheumatology
#1,811
of 6,201 outputs
Outputs of similar age
#48,927
of 282,145 outputs
Outputs of similar age from Rheumatology
#15
of 66 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,201 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 70% 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 282,145 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 82% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.