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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EXACT2: the semantics of biomedical protocols
|
|---|---|
| Published in |
BMC Bioinformatics, November 2014
|
| DOI | 10.1186/1471-2105-15-s14-s5 |
| Pubmed ID | |
| Authors |
Larisa N Soldatova, Daniel Nadis, Ross D King, Piyali S Basu, Emma Haddi, Véronique Baumlé, Nigel J Saunders, Wolfgang Marwan, Brian B Rudkin |
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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 39 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 31% |
| Agricultural and Biological Sciences | 6 | 14% |
| Engineering | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 10 | 24% |
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 01 October 2018.
All research outputs
#15,369,653
of 22,865,319 outputs
Outputs from BMC Bioinformatics
#5,383
of 7,295 outputs
Outputs of similar age
#214,629
of 362,278 outputs
Outputs of similar age from BMC Bioinformatics
#93
of 136 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 362,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.