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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Openness to Change: Experiential and Demographic Components of Change in Local Health Department Leaders
|
|---|---|
| Published in |
Frontiers in Public Health, September 2015
|
| DOI | 10.3389/fpubh.2015.00209 |
| Pubmed ID | |
| Authors |
Emmanuel D. Jadhav, James W. Holsinger, David W. Fardo |
| Abstract |
During the 2008-2010 economic recession, Kentucky local health department (LHD) leaders utilized innovative strategies to maintain their programs. A characteristic of innovative strategy is leader openness to change. Leader demographical research in for-profit organizations has yielded valuable insight into leader openness to change. For LHD leaders, the nature of the association between leader demographic and organizational characteristics on leader openness to change is unknown. The objectives of this study are to identify variation in openness to change by leaders' demographic and organizational characteristics and to characterize the underlying relationships. The study utilized Spearman rank correlations test to determine relationships between leader openness to change (ACQ) and leader and LHD characteristics. To identify differences in the distribution of ACQ scores, Wilcoxon-Mann-Whitney and Kruskal-Wallis non-parametric tests were used, and to adjust for potential confounding, linear regression analysis was performed. Local health department leaders in the Commonwealth of Kentucky were the unit of analysis. Expenditure and revenue data were available from the state health department. National census data were utilized for county level population estimates. A cross-sectional survey was performed of KY LHD leaders' observable attributes relating to age, gender, race, educational background, leadership experience, and openness to change. Leaders had relatively high openness to change scores. Spearman correlations between leader ACQ and departmental 2012-2013 revenue and expenditures were statistically significant, as were the differences observed in ACQ by gender and the educational level of the leader. Differences in ACQ score by education level and agency revenue were significant even after adjusting for potential confounders. The analyses imply that there are underlying relationships between leader and LHD characteristics based on leader openness to change. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Student > Doctoral Student | 4 | 14% |
| Student > Master | 3 | 11% |
| Librarian | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 7 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 7 | 25% |
| Medicine and Dentistry | 4 | 14% |
| Social Sciences | 4 | 14% |
| Psychology | 3 | 11% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 29% |
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 01 September 2015.
All research outputs
#18,425,370
of 22,826,360 outputs
Outputs from Frontiers in Public Health
#5,681
of 9,854 outputs
Outputs of similar age
#192,487
of 266,863 outputs
Outputs of similar age from Frontiers in Public Health
#41
of 56 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,854 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 23rd percentile – i.e., 23% 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 266,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% 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.