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Mendeley readers
Attention Score in Context
Title |
Successful implementation of new technologies in nursing care: a questionnaire survey of nurse-users
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, October 2011
|
DOI | 10.1186/1472-6947-11-67 |
Pubmed ID | |
Authors |
Anke JE de Veer, Margot AH Fleuren, Nienke Bekkema, Anneke L Francke |
Abstract |
A growing number of new technologies are becoming available within nursing care that can improve the quality of care, reduce costs, or enhance working conditions. However, such effects can only be achieved if technologies are used as intended. The aim of this study is to gain a better understanding of determinants influencing the success of the introduction of new technologies as perceived by nursing staff. |
X Demographics
The data shown below were collected from the profiles of 18 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 Kingdom | 2 | 11% |
Ireland | 1 | 6% |
United States | 1 | 6% |
Australia | 1 | 6% |
India | 1 | 6% |
Singapore | 1 | 6% |
Unknown | 11 | 61% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 61% |
Practitioners (doctors, other healthcare professionals) | 6 | 33% |
Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
United States | 2 | <1% |
Spain | 2 | <1% |
Canada | 2 | <1% |
Malaysia | 1 | <1% |
Vietnam | 1 | <1% |
Switzerland | 1 | <1% |
China | 1 | <1% |
Unknown | 333 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 76 | 22% |
Student > Ph. D. Student | 45 | 13% |
Student > Bachelor | 38 | 11% |
Researcher | 33 | 10% |
Student > Doctoral Student | 18 | 5% |
Other | 60 | 17% |
Unknown | 75 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 70 | 20% |
Medicine and Dentistry | 61 | 18% |
Business, Management and Accounting | 30 | 9% |
Social Sciences | 29 | 8% |
Computer Science | 18 | 5% |
Other | 50 | 14% |
Unknown | 87 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 16 January 2018.
All research outputs
#2,271,967
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#140
of 2,025 outputs
Outputs of similar age
#11,881
of 142,138 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 17 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 142,138 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.