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Mendeley readers
Attention Score in Context
| Title |
CSEO – the Cigarette Smoke Exposure Ontology
|
|---|---|
| Published in |
Journal of Biomedical Semantics, July 2014
|
| DOI | 10.1186/2041-1480-5-31 |
| Pubmed ID | |
| Authors |
Erfan Younesi, Sam Ansari, Michaela Guendel, Shiva Ahmadi, Chris Coggins, Julia Hoeng, Martin Hofmann-Apitius, Manuel C Peitsch |
| Abstract |
In the past years, significant progress has been made to develop and use experimental settings for extensive data collection on tobacco smoke exposure and tobacco smoke exposure-associated diseases. Due to the growing number of such data, there is a need for domain-specific standard ontologies to facilitate the integration of tobacco exposure data. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 4% |
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| Unknown | 20 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 5 | 22% |
| Lecturer | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 3 | 13% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 43% |
| Agricultural and Biological Sciences | 4 | 17% |
| Engineering | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 February 2020.
All research outputs
#2,933,225
of 22,758,248 outputs
Outputs from Journal of Biomedical Semantics
#51
of 364 outputs
Outputs of similar age
#30,445
of 225,815 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 7 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 85% 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 225,815 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 86% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.