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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Glomerular disease search filters for Pubmed, Ovid Medline, and Embase: a development and validation study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2012
|
| DOI | 10.1186/1472-6947-12-49 |
| Pubmed ID | |
| Authors |
Ainslie M Hildebrand, Arthur V Iansavichus, Christopher WC Lee, R Brian Haynes, Nancy L Wilczynski, K Ann McKibbon, Michelle A Hladunewich, William F Clark, Daniel C Cattran, Amit X Garg |
| Abstract |
Tools to enhance physician searches of Medline and other bibliographic databases have potential to improve the application of new knowledge in patient care. This is particularly true for articles about glomerular disease, which are published across multiple disciplines and are often difficult to track down. Our objective was to develop and test search filters for PubMed, Ovid Medline, and Embase that allow physicians to search within a subset of the database to retrieve articles relevant to glomerular disease. |
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 % |
|---|---|---|
| India | 2 | 50% |
| Spain | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 7% |
| Spain | 2 | 5% |
| United States | 1 | 2% |
| Unknown | 37 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 7 | 16% |
| Professor > Associate Professor | 7 | 16% |
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 5 | 12% |
| Professor | 4 | 9% |
| Other | 12 | 28% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 51% |
| Computer Science | 5 | 12% |
| Social Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 6 | 14% |
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 16 May 2016.
All research outputs
#3,707,111
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#297
of 2,027 outputs
Outputs of similar age
#25,101
of 168,386 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 47 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,027 research outputs from this source. They receive a mean Attention Score of 4.9. 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 168,386 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 47 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.