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Patient connectivity with healthcare professionals and health insurer using digital health technologies during the COVID-19 pandemic: a German cross-sectional study

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2021
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Mentioned by

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1 Facebook page

Citations

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12 Dimensions

Readers on

mendeley
103 Mendeley
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Title
Patient connectivity with healthcare professionals and health insurer using digital health technologies during the COVID-19 pandemic: a German cross-sectional study
Published in
BMC Medical Informatics and Decision Making, August 2021
DOI 10.1186/s12911-021-01605-8
Pubmed ID
Authors

Niels Hannemann, Nina-Alexandra Götz, Lisa Schmidt, Ursula Hübner, Birgit Babitsch

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 11%
Researcher 10 10%
Student > Master 10 10%
Student > Bachelor 8 8%
Lecturer 7 7%
Other 17 17%
Unknown 40 39%
Readers by discipline Count As %
Nursing and Health Professions 14 14%
Business, Management and Accounting 13 13%
Medicine and Dentistry 8 8%
Social Sciences 6 6%
Computer Science 3 3%
Other 18 17%
Unknown 41 40%
Attention Score in Context

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 26 August 2021.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,833
of 2,024 outputs
Outputs of similar age
#356,557
of 430,312 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#46
of 53 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 430,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 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.