You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Text-mining applied to autoimmune disease research: the Sjögren’s syndrome knowledge base
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, July 2012
|
| DOI | 10.1186/1471-2474-13-119 |
| Pubmed ID | |
| Authors |
Sven-Ulrik Gorr, Trevor J Wennblom, Steve Horvath, David TW Wong, Sara A Michie |
| Abstract |
Sjögren's syndrome is a tissue-specific autoimmune disease that affects exocrine tissues, especially salivary glands and lacrimal glands. Despite a large body of evidence gathered over the past 60 years, significant gaps still exist in our understanding of Sjögren's syndrome. The goal of this study was to develop a database that collects and organizes gene and protein expression data from the existing literature for comparative analysis with future gene expression and proteomic studies of Sjögren's syndrome. |
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 % |
|---|---|---|
| Canada | 3 | 60% |
| United States | 1 | 20% |
| France | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Netherlands | 2 | 4% |
| Germany | 1 | 2% |
| Spain | 1 | 2% |
| India | 1 | 2% |
| Unknown | 48 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Postgraduate | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 10 | 18% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 25% |
| Agricultural and Biological Sciences | 6 | 11% |
| Computer Science | 6 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Business, Management and Accounting | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 17 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 March 2013.
All research outputs
#7,947,504
of 24,798,538 outputs
Outputs from BMC Musculoskeletal Disorders
#1,550
of 4,327 outputs
Outputs of similar age
#54,578
of 168,403 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#19
of 46 outputs
Altmetric has tracked 24,798,538 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,327 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 63% 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 168,403 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.