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Attitudes of nursing staff towards computerisation: a case of two hospitals in Nairobi, Kenya

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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4 X users

Citations

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36 Dimensions

Readers on

mendeley
134 Mendeley
Title
Attitudes of nursing staff towards computerisation: a case of two hospitals in Nairobi, Kenya
Published in
BMC Medical Informatics and Decision Making, April 2014
DOI 10.1186/1472-6947-14-35
Pubmed ID
Authors

Mathew K Kipturgo, Lucy W Kivuti-Bitok, Ann K Karani, Margaret M Muiva

Abstract

The health sector is faced with constant changes as new approaches to tackle illnesses are unveiled through research. Information, communication and technology have greatly transformed healthcare practice the world over. Nursing is continually exposed to a variety of changes. Variables including age, educational level, years worked in nursing, computer knowledge and experience have been found to influence the attitudes of nurses towards computerisation. The purpose of the study was to determine the attitudes of nurses towards the use of computers and the factors that influence these attitudes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tanzania, United Republic of 1 <1%
Malaysia 1 <1%
Kenya 1 <1%
Egypt 1 <1%
United States 1 <1%
Unknown 129 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 22%
Student > Bachelor 21 16%
Student > Ph. D. Student 9 7%
Student > Doctoral Student 8 6%
Researcher 7 5%
Other 29 22%
Unknown 30 22%
Readers by discipline Count As %
Nursing and Health Professions 47 35%
Medicine and Dentistry 18 13%
Computer Science 15 11%
Social Sciences 7 5%
Business, Management and Accounting 2 1%
Other 10 7%
Unknown 35 26%
Attention Score in Context

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 30 April 2014.
All research outputs
#12,781,062
of 22,754,104 outputs
Outputs from BMC Medical Informatics and Decision Making
#861
of 1,985 outputs
Outputs of similar age
#105,720
of 227,503 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 34 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 56% 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 227,503 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 53% of its contemporaries.
We're also able to compare this research output to 34 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 52% of its contemporaries.