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Actor-Network Theory and its role in understanding the implementation of information technology developments in healthcare

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
224 Dimensions

Readers on

mendeley
761 Mendeley
citeulike
1 CiteULike
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Title
Actor-Network Theory and its role in understanding the implementation of information technology developments in healthcare
Published in
BMC Medical Informatics and Decision Making, November 2010
DOI 10.1186/1472-6947-10-67
Pubmed ID
Authors

Kathrin M Cresswell, Allison Worth, Aziz Sheikh

Abstract

Actor-Network Theory (ANT) is an increasingly influential, but still deeply contested, approach to understand humans and their interactions with inanimate objects. We argue that health services research, and in particular evaluations of complex IT systems in health service organisations, may benefit from being informed by Actor-Network Theory perspectives.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 761 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 9 1%
Canada 7 <1%
United States 6 <1%
Brazil 4 <1%
Sweden 3 <1%
Switzerland 2 <1%
Ghana 2 <1%
Italy 2 <1%
Malaysia 2 <1%
Other 25 3%
Unknown 699 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 169 22%
Student > Master 155 20%
Researcher 84 11%
Student > Doctoral Student 59 8%
Student > Bachelor 42 6%
Other 111 15%
Unknown 141 19%
Readers by discipline Count As %
Social Sciences 167 22%
Computer Science 106 14%
Business, Management and Accounting 79 10%
Medicine and Dentistry 62 8%
Arts and Humanities 36 5%
Other 152 20%
Unknown 159 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 October 2022.
All research outputs
#7,908,022
of 25,402,889 outputs
Outputs from BMC Medical Informatics and Decision Making
#740
of 2,141 outputs
Outputs of similar age
#37,827
of 109,985 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 15 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,141 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 65% 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 109,985 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 65% of its contemporaries.
We're also able to compare this research output to 15 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 53% of its contemporaries.