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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving the Effectiveness of Electronic Health Record-Based Referral Processes
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2012
|
| DOI | 10.1186/1472-6947-12-107 |
| Pubmed ID | |
| Authors |
Adol Esquivel, Dean F Sittig, Daniel R Murphy, Hardeep Singh |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 46% |
| India | 2 | 15% |
| Switzerland | 1 | 8% |
| Brazil | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Practitioners (doctors, other healthcare professionals) | 3 | 23% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 1% |
| United States | 2 | 1% |
| Indonesia | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Argentina | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 133 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 24% |
| Student > Ph. D. Student | 22 | 15% |
| Researcher | 18 | 13% |
| Student > Postgraduate | 10 | 7% |
| Student > Bachelor | 7 | 5% |
| Other | 27 | 19% |
| Unknown | 25 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 50 | 35% |
| Computer Science | 20 | 14% |
| Nursing and Health Professions | 15 | 10% |
| Social Sciences | 13 | 9% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 14 | 10% |
| Unknown | 29 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 24 May 2018.
All research outputs
#3,770,042
of 25,837,817 outputs
Outputs from BMC Medical Informatics and Decision Making
#302
of 2,159 outputs
Outputs of similar age
#26,146
of 189,398 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 41 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,159 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 done well, scoring higher than 85% 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 189,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.