↓ Skip to main content

Indivo: a personally controlled health record for health information exchange and communication

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2007
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
2 CiteULike
connotea
2 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Indivo: a personally controlled health record for health information exchange and communication
Published in
BMC Medical Informatics and Decision Making, September 2007
DOI 10.1186/1472-6947-7-25
Pubmed ID
Authors

Kenneth D Mandl, William W Simons, William CR Crawford, Jonathan M Abbett

Abstract

Personally controlled health records (PCHRs), a subset of personal health records (PHRs), enable a patient to assemble, maintain and manage a secure copy of his or her medical data. Indivo (formerly PING) is an open source, open standards PCHR with an open application programming interface (API).

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 7%
Canada 3 2%
United Kingdom 3 2%
Netherlands 1 <1%
Brazil 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Ireland 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 125 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Student > Master 24 16%
Researcher 19 13%
Student > Postgraduate 12 8%
Professor > Associate Professor 11 7%
Other 38 26%
Unknown 6 4%
Readers by discipline Count As %
Computer Science 58 39%
Medicine and Dentistry 32 22%
Social Sciences 14 9%
Business, Management and Accounting 11 7%
Nursing and Health Professions 6 4%
Other 17 11%
Unknown 10 7%

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 23 September 2013.
All research outputs
#3,976,131
of 14,193,901 outputs
Outputs from BMC Medical Informatics and Decision Making
#465
of 1,312 outputs
Outputs of similar age
#38,728
of 149,025 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#61
of 155 outputs
Altmetric has tracked 14,193,901 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,312 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 64% 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 149,025 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 73% of its contemporaries.
We're also able to compare this research output to 155 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 60% of its contemporaries.