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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Influence of data quality on computed Dutch hospital quality indicators: a case study in colorectal cancer surgery
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2014
|
| DOI | 10.1186/1472-6947-14-32 |
| Pubmed ID | |
| Authors |
Kathrin Dentler, Ronald Cornet, Annette ten Teije, Pieter Tanis, Jean Klinkenbijl, Kristien Tytgat, Nicolette de Keizer |
| Abstract |
Our study aims to assess the influence of data quality on computed Dutch hospital quality indicators, and whether colorectal cancer surgery indicators can be computed reliably based on routinely recorded data from an electronic medical record (EMR). |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| Netherlands | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 2 | 3% |
| Netherlands | 2 | 3% |
| Malaysia | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 64 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Researcher | 12 | 17% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 5 | 7% |
| Other | 4 | 6% |
| Other | 16 | 23% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 27% |
| Computer Science | 18 | 25% |
| Nursing and Health Professions | 5 | 7% |
| Social Sciences | 5 | 7% |
| Business, Management and Accounting | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 April 2014.
All research outputs
#7,124,090
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#685
of 2,025 outputs
Outputs of similar age
#67,533
of 228,610 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 27 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 65% 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 228,610 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.