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X Demographics
Mendeley readers
Attention Score in Context
Title |
Modeling biomedical experimental processes with OBI
|
---|---|
Published in |
Journal of Biomedical Semantics, June 2010
|
DOI | 10.1186/2041-1480-1-s1-s7 |
Pubmed ID | |
Authors |
Ryan R Brinkman, Mélanie Courtot, Dirk Derom, Jennifer M Fostel, Yongqun He, Phillip Lord, James Malone, Helen Parkinson, Bjoern Peters, Philippe Rocca-Serra, Alan Ruttenberg, Susanna-Assunta Sansone, Larisa N Soldatova, Christian J Stoeckert, Jessica A Turner, Jie Zheng, the OBI consortium |
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 % |
---|---|---|
Finland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 8% |
Germany | 5 | 3% |
United Kingdom | 5 | 3% |
Spain | 4 | 3% |
Brazil | 4 | 3% |
Sweden | 2 | 1% |
Netherlands | 1 | <1% |
Australia | 1 | <1% |
Canada | 1 | <1% |
Other | 9 | 6% |
Unknown | 111 | 71% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 52 | 33% |
Student > Ph. D. Student | 22 | 14% |
Professor > Associate Professor | 15 | 10% |
Student > Master | 13 | 8% |
Other | 11 | 7% |
Other | 29 | 19% |
Unknown | 14 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 54 | 35% |
Computer Science | 43 | 28% |
Medicine and Dentistry | 13 | 8% |
Engineering | 10 | 6% |
Biochemistry, Genetics and Molecular Biology | 6 | 4% |
Other | 17 | 11% |
Unknown | 13 | 8% |
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 27 June 2021.
All research outputs
#6,583,500
of 23,292,144 outputs
Outputs from Journal of Biomedical Semantics
#120
of 367 outputs
Outputs of similar age
#29,776
of 95,125 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 1 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 367 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 66% 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 95,125 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 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them