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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational challenges and human factors influencing the design and use of clinical research participant eligibility pre-screening tools
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2012
|
| DOI | 10.1186/1472-6947-12-47 |
| Pubmed ID | |
| Authors |
Taylor R Pressler, Po-Yin Yen, Jing Ding, Jianhua Liu, Peter J Embi, Philip R O Payne |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 64 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Master | 11 | 17% |
| Student > Bachelor | 10 | 15% |
| Student > Ph. D. Student | 7 | 11% |
| Professor > Associate Professor | 6 | 9% |
| Other | 15 | 23% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 35% |
| Medicine and Dentistry | 13 | 20% |
| Engineering | 4 | 6% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 11 | 17% |
| Unknown | 10 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 December 2022.
All research outputs
#5,243,386
of 25,385,509 outputs
Outputs from BMC Medical Informatics and Decision Making
#449
of 2,140 outputs
Outputs of similar age
#34,303
of 178,925 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 43 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,140 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 78% 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 178,925 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 80% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.