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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dry computational approaches for wet medical problems
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2014
|
| DOI | 10.1186/1479-5876-12-26 |
| Pubmed ID | |
| Authors |
Frank Emmert-Streib, Shu-Dong Zhang, Peter Hamilton |
| Abstract |
This is a report on the 4th international conference in 'Quantitative Biology and Bioinformatics in Modern Medicine' held in Belfast (UK), 19-20 September 2013. The aim of the conference was to bring together leading experts from a variety of different areas that are key for Systems Medicine to exchange novel findings and promote interdisciplinary ideas and collaborations. |
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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 32% |
| Professor | 3 | 16% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 21% |
| Agricultural and Biological Sciences | 4 | 21% |
| Medicine and Dentistry | 4 | 21% |
| Engineering | 1 | 5% |
| Unknown | 6 | 32% |
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 26 January 2014.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Journal of Translational Medicine
#3,881
of 4,635 outputs
Outputs of similar age
#281,924
of 321,549 outputs
Outputs of similar age from Journal of Translational Medicine
#50
of 80 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 1st percentile – i.e., 1% 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 321,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.