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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2021
|
| DOI | 10.1186/s12874-021-01252-7 |
| Pubmed ID | |
| Authors |
Carsten Oliver Schmidt, Stephan Struckmann, Cornelia Enzenbach, Achim Reineke, Jürgen Stausberg, Stefan Damerow, Marianne Huebner, Börge Schmidt, Willi Sauerbrei, Adrian Richter |
X Demographics
The data shown below were collected from the profiles of 23 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 | 4 | 17% |
| Germany | 3 | 13% |
| Mexico | 1 | 4% |
| Spain | 1 | 4% |
| Portugal | 1 | 4% |
| India | 1 | 4% |
| South Africa | 1 | 4% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 70% |
| Scientists | 5 | 22% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 11% |
| Student > Master | 9 | 10% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Professor | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 44 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 13% |
| Engineering | 5 | 5% |
| Mathematics | 4 | 4% |
| Medicine and Dentistry | 4 | 4% |
| Nursing and Health Professions | 3 | 3% |
| Other | 17 | 19% |
| Unknown | 46 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 24 May 2023.
All research outputs
#2,305,179
of 25,784,004 outputs
Outputs from BMC Medical Research Methodology
#314
of 2,319 outputs
Outputs of similar age
#60,471
of 457,483 outputs
Outputs of similar age from BMC Medical Research Methodology
#9
of 58 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 86% of its peers.
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 457,483 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.