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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements
|
|---|---|
| Published in |
Journal of Biomedical Semantics, May 2013
|
| DOI | 10.1186/2041-1480-4-12 |
| Pubmed ID | |
| Authors |
María Pérez, Rafael Berlanga, Ismael Sanz, María José Aramburu |
| Abstract |
Open metadata registries are a fundamental tool for researchers in the Life Sciences trying to locate resources. While most current registries assume that resources are annotated with well-structured metadata, evidence shows that most of the resource annotations simply consists of informal free text. This reality must be taken into account in order to develop effective techniques for resource discovery in Life Sciences. |
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 % |
|---|---|---|
| United States | 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 % |
|---|---|---|
| United States | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 37% |
| Student > Bachelor | 3 | 16% |
| Lecturer | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Other | 1 | 5% |
| Other | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 63% |
| Agricultural and Biological Sciences | 4 | 21% |
| Engineering | 2 | 11% |
| Philosophy | 1 | 5% |
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 05 May 2013.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Journal of Biomedical Semantics
#240
of 368 outputs
Outputs of similar age
#129,688
of 204,330 outputs
Outputs of similar age from Journal of Biomedical Semantics
#5
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 21st percentile – i.e., 21% 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 204,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.