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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2020
|
| DOI | 10.1186/s12911-020-01285-w |
| Pubmed ID | |
| Authors |
George C. G. Barbosa, M. Sanni Ali, Bruno Araujo, Sandra Reis, Samila Sena, Maria Y. T. Ichihara, Julia Pescarini, Rosemeire L. Fiaccone, Leila D. Amorim, Robespierre Pita, Marcos E. Barreto, Liam Smeeth, Mauricio L. Barreto |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
| Brazil | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 13% |
| Student > Master | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Lecturer | 2 | 4% |
| Other | 8 | 18% |
| Unknown | 15 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 20% |
| Nursing and Health Professions | 6 | 13% |
| Medicine and Dentistry | 6 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Economics, Econometrics and Finance | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 16 | 36% |
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 14 November 2020.
All research outputs
#16,092,006
of 23,872,700 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,350
of 2,030 outputs
Outputs of similar age
#260,167
of 420,973 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#31
of 49 outputs
Altmetric has tracked 23,872,700 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 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 420,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.