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X Demographics
Mendeley readers
Attention Score in Context
Title |
Inventory study of non-tuberculous mycobacteria in the European Union
|
---|---|
Published in |
BMC Infectious Diseases, February 2014
|
DOI | 10.1186/1471-2334-14-62 |
Pubmed ID | |
Authors |
Marieke J van der Werf, Csaba Ködmön, Vera Katalinić-Janković, Tiina Kummik, Hanna Soini, Elvira Richter, Dimitrios Papaventsis, Enrico Tortoli, Monique Perrin, Dick van Soolingen, Manca Žolnir-Dovč, Vibeke Østergaard Thomsen |
Abstract |
Since non-tuberculous mycobacteria (NTM) disease is not notifiable in most European Union (EU) and European Economic Area (EEA) countries, the epidemiological situation of the >150 NTM species is largely unknown. We aimed to collect data on the frequency of NTM detection and NTM species types in EU/EEA countries. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Unknown | 113 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 15% |
Researcher | 16 | 14% |
Student > Master | 16 | 14% |
Other | 9 | 8% |
Student > Bachelor | 7 | 6% |
Other | 24 | 21% |
Unknown | 25 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 29% |
Agricultural and Biological Sciences | 18 | 16% |
Immunology and Microbiology | 15 | 13% |
Biochemistry, Genetics and Molecular Biology | 8 | 7% |
Engineering | 3 | 3% |
Other | 8 | 7% |
Unknown | 29 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 February 2014.
All research outputs
#18,363,356
of 22,743,667 outputs
Outputs from BMC Infectious Diseases
#5,581
of 7,663 outputs
Outputs of similar age
#229,449
of 307,252 outputs
Outputs of similar age from BMC Infectious Diseases
#123
of 147 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,663 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 15th percentile – i.e., 15% 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 307,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.