| Title |
Building PROMIS item banks: librarians as co-investigators
|
|---|---|
| Published in |
Quality of Life Research, June 2009
|
| DOI | 10.1007/s11136-009-9498-7 |
| Pubmed ID | |
| Authors |
Mary Klem, Ester Saghafi, Rebecca Abromitis, Angela Stover, Mary Amanda Dew, Paul Pilkonis |
| Abstract |
There is growing interest in the use of item response theory (IRT) for creation of measures of health-related quality of life (HRQOL). A first step in IRT modeling is development of item banks. Our aim is to describe the value of including librarians and to describe processes used by librarians, in the creation of such banks. |
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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Chile | 3 | 5% |
| Netherlands | 1 | 2% |
| Japan | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 49 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Librarian | 9 | 15% |
| Student > Master | 7 | 12% |
| Student > Ph. D. Student | 6 | 10% |
| Professor | 5 | 8% |
| Other | 11 | 19% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 22% |
| Social Sciences | 10 | 17% |
| Psychology | 8 | 14% |
| Computer Science | 6 | 10% |
| Nursing and Health Professions | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 11 | 19% |
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 08 November 2013.
All research outputs
#17,702,587
of 22,729,647 outputs
Outputs from Quality of Life Research
#1,888
of 2,842 outputs
Outputs of similar age
#101,938
of 111,320 outputs
Outputs of similar age from Quality of Life Research
#8
of 9 outputs
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.