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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PESCADOR, a web-based tool to assist text-mining of biointeractions extracted from PubMed queries
|
|---|---|
| Published in |
BMC Bioinformatics, November 2011
|
| DOI | 10.1186/1471-2105-12-435 |
| Pubmed ID | |
| Authors |
Adriano Barbosa-Silva, Jean-Fred Fontaine, Elisa R Donnard, Fernanda Stussi, J Miguel Ortega, Miguel A Andrade-Navarro |
| Abstract |
Biological function is greatly dependent on the interactions of proteins with other proteins and genes. Abstracts from the biomedical literature stored in the NCBI's PubMed database can be used for the derivation of interactions between genes and proteins by identifying the co-occurrences of their terms. Often, the amount of interactions obtained through such an approach is large and may mix processes occurring in different contexts. Current tools do not allow studying these data with a focus on concepts of relevance to a user, for example, interactions related to a disease or to a biological mechanism such as protein aggregation. |
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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Brazil | 2 | 2% |
| United Kingdom | 2 | 2% |
| Germany | 1 | <1% |
| Uruguay | 1 | <1% |
| Argentina | 1 | <1% |
| Spain | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 110 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 25% |
| Student > Ph. D. Student | 21 | 17% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 13 | 11% |
| Other | 9 | 7% |
| Other | 24 | 20% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 47% |
| Computer Science | 15 | 12% |
| Biochemistry, Genetics and Molecular Biology | 12 | 10% |
| Medicine and Dentistry | 9 | 7% |
| Immunology and Microbiology | 4 | 3% |
| Other | 12 | 10% |
| Unknown | 12 | 10% |
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 30 April 2014.
All research outputs
#18,371,293
of 22,754,104 outputs
Outputs from BMC Bioinformatics
#6,302
of 7,269 outputs
Outputs of similar age
#117,427
of 143,024 outputs
Outputs of similar age from BMC Bioinformatics
#103
of 121 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,269 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 5th percentile – i.e., 5% 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 143,024 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.