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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Application of smart phone in "Better Border Healthcare Program": A module for mother and child care
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, November 2010
|
DOI | 10.1186/1472-6947-10-69 |
Pubmed ID | |
Authors |
Jaranit Kaewkungwal, Pratap Singhasivanon, Amnat Khamsiriwatchara, Surasak Sawang, Pongthep Meankaew, Apisit Wechsart |
Abstract |
To assess the application of cell phone integrating into the healthcare system to improve antenatal care (ANC) and expanded programme on immunization (EPI) services for the under-served population in border area. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | <1% |
Indonesia | 2 | <1% |
Ireland | 1 | <1% |
New Zealand | 1 | <1% |
United Kingdom | 1 | <1% |
Japan | 1 | <1% |
Spain | 1 | <1% |
Unknown | 320 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 91 | 28% |
Researcher | 48 | 15% |
Student > Ph. D. Student | 31 | 9% |
Student > Postgraduate | 29 | 9% |
Student > Bachelor | 25 | 8% |
Other | 44 | 13% |
Unknown | 62 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 101 | 31% |
Nursing and Health Professions | 43 | 13% |
Social Sciences | 39 | 12% |
Computer Science | 22 | 7% |
Agricultural and Biological Sciences | 12 | 4% |
Other | 39 | 12% |
Unknown | 74 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 January 2014.
All research outputs
#14,164,797
of 22,701,287 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,980 outputs
Outputs of similar age
#78,192
of 100,341 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 13 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 100,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.