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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developing algorithms for healthcare insurers to systematically monitor surgical site infection rates
|
|---|---|
| Published in |
BMC Medical Research Methodology, June 2007
|
| DOI | 10.1186/1471-2288-7-20 |
| Pubmed ID | |
| Authors |
Susan S Huang, James M Livingston, Nigel SB Rawson, Steven Schmaltz, Richard Platt |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 23 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 28% |
| Student > Ph. D. Student | 7 | 28% |
| Other | 3 | 12% |
| Professor | 3 | 12% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Nursing and Health Professions | 3 | 12% |
| Mathematics | 2 | 8% |
| Business, Management and Accounting | 2 | 8% |
| Computer Science | 2 | 8% |
| Other | 9 | 36% |
| Unknown | 3 | 12% |
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 March 2016.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from BMC Medical Research Methodology
#1,510
of 2,018 outputs
Outputs of similar age
#60,919
of 70,602 outputs
Outputs of similar age from BMC Medical Research Methodology
#5
of 7 outputs
Altmetric has tracked 22,858,915 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 2,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 16th percentile – i.e., 16% 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 70,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.