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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systems biology approaches for advancing the discovery of effective drug combinations
|
|---|---|
| Published in |
Journal of Cheminformatics, February 2015
|
| DOI | 10.1186/s13321-015-0055-9 |
| Pubmed ID | |
| Authors |
Karen A Ryall, Aik Choon Tan |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Spain | 2 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 224 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 23% |
| Researcher | 42 | 18% |
| Student > Master | 30 | 13% |
| Student > Bachelor | 20 | 8% |
| Student > Doctoral Student | 10 | 4% |
| Other | 39 | 17% |
| Unknown | 40 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 25% |
| Biochemistry, Genetics and Molecular Biology | 45 | 19% |
| Computer Science | 18 | 8% |
| Medicine and Dentistry | 16 | 7% |
| Chemistry | 12 | 5% |
| Other | 32 | 14% |
| Unknown | 54 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 March 2016.
All research outputs
#15,321,963
of 24,293,076 outputs
Outputs from Journal of Cheminformatics
#736
of 893 outputs
Outputs of similar age
#138,562
of 259,519 outputs
Outputs of similar age from Journal of Cheminformatics
#14
of 21 outputs
Altmetric has tracked 24,293,076 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 13th percentile – i.e., 13% 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 259,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.