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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Overview of the Lives Saved Tool (LiST)
|
|---|---|
| Published in |
BMC Public Health, September 2013
|
| DOI | 10.1186/1471-2458-13-s3-s1 |
| Pubmed ID | |
| Authors |
Neff Walker, Yvonne Tam, Ingrid K Friberg |
| Abstract |
This paper provides an overview of the historical development and current status of the Lives Saved Tool (LiST). The paper provides a general explanation of the modeling approach used in the model with links to web sites and other articles with more details. It also details the development process in developing both the model structure as well as the assumptions used in the model. The paper provides information about how LiST has been and is currently being used by various organizations and within national health programs. We also provide a review of the work that has been done to try to validate the outputs of the model. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| Indonesia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| China | 1 | <1% |
| Unknown | 241 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 19% |
| Student > Master | 42 | 17% |
| Student > Ph. D. Student | 31 | 13% |
| Other | 19 | 8% |
| Student > Bachelor | 17 | 7% |
| Other | 42 | 17% |
| Unknown | 47 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 72 | 29% |
| Social Sciences | 29 | 12% |
| Nursing and Health Professions | 25 | 10% |
| Agricultural and Biological Sciences | 10 | 4% |
| Economics, Econometrics and Finance | 10 | 4% |
| Other | 30 | 12% |
| Unknown | 69 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 22 March 2023.
All research outputs
#2,305,511
of 25,374,917 outputs
Outputs from BMC Public Health
#2,750
of 17,512 outputs
Outputs of similar age
#20,142
of 213,541 outputs
Outputs of similar age from BMC Public Health
#48
of 309 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 84% 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 213,541 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.