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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linking Chronic Infection and Autoimmune Diseases: Mycobacterium avium Subspecies paratuberculosis, SLC11A1 Polymorphisms and Type-1 Diabetes Mellitus
|
|---|---|
| Published in |
PLOS ONE, September 2009
|
| DOI | 10.1371/journal.pone.0007109 |
| Pubmed ID | |
| Authors |
Daniela Paccagnini, Lee Sieswerda, Valentina Rosu, Speranza Masala, Adolfo Pacifico, Maria Gazouli, John Ikonomopoulos, Niyaz Ahmed, Stefania Zanetti, Leonardo A. Sechi |
| Abstract |
The etiology of type 1 diabetes mellitus (T1DM) is still unknown; numerous studies are performed to unravel the environmental factors involved in triggering the disease. SLC11A1 is a membrane transporter that is expressed in late endosomes of antigen presenting cells involved in the immunopathogenic events leading to T1DM. Mycobacterium avium subsp. paratuberculosis (MAP) has been reported to be a possible trigger in the development of T1DM. |
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 % |
|---|---|---|
| Ireland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 2 | 4% |
| Ireland | 1 | 2% |
| Norway | 1 | 2% |
| Unknown | 41 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Researcher | 10 | 21% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 6 | 13% |
| Professor > Associate Professor | 4 | 9% |
| Other | 7 | 15% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 43% |
| Medicine and Dentistry | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Veterinary Science and Veterinary Medicine | 4 | 9% |
| Nursing and Health Professions | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 5 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 14 September 2020.
All research outputs
#1,206,860
of 22,655,397 outputs
Outputs from PLOS ONE
#16,053
of 193,429 outputs
Outputs of similar age
#3,400
of 92,640 outputs
Outputs of similar age from PLOS ONE
#48
of 504 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,429 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 91% 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 92,640 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 504 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.