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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a health information system for assistance and research in gestational trophoblast disease
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2022
|
| DOI | 10.1186/s12911-022-01916-4 |
| Pubmed ID | |
| Authors |
Jaqueline Martins, Paulo Bandiera-Paiva, Antonio Rodrigues Braga Neto, Lucas Ribeiro Borges de Carvalho, Lúcio Padrini-Andrade, Vitor Tonini Machado, Antônio Carlos da Silva Junior, Sue Yazaki Sun |
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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 7% |
| Other | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Lecturer | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 36 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 9% |
| Nursing and Health Professions | 5 | 9% |
| Computer Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 36 | 63% |
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 03 July 2022.
All research outputs
#20,255,902
of 22,785,242 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,801
of 1,986 outputs
Outputs of similar age
#348,582
of 436,034 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#44
of 56 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,986 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 436,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.