| Title |
A Study on Pubmed Search Tag Usage Pattern: Association Rule Mining of a Full-day Pubmed Query Log
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2013
|
| DOI | 10.1186/1472-6947-13-8 |
| Pubmed ID | |
| Authors |
Abu Saleh Mohammad Mosa, Illhoi Yoo |
| Abstract |
The practice of evidence-based medicine requires efficient biomedical literature search such as PubMed/MEDLINE. Retrieval performance relies highly on the efficient use of search field tags. The purpose of this study was to analyze PubMed log data in order to understand the usage pattern of search tags by the end user in PubMed/MEDLINE search. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 6 | 38% |
| United States | 2 | 13% |
| India | 1 | 6% |
| Mexico | 1 | 6% |
| Ecuador | 1 | 6% |
| Argentina | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Practitioners (doctors, other healthcare professionals) | 6 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Australia | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 55 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Ph. D. Student | 9 | 15% |
| Librarian | 7 | 12% |
| Other | 7 | 12% |
| Student > Postgraduate | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 29% |
| Medicine and Dentistry | 12 | 20% |
| Agricultural and Biological Sciences | 5 | 8% |
| Social Sciences | 4 | 7% |
| Business, Management and Accounting | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 13 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 08 August 2022.
All research outputs
#2,160,113
of 25,081,419 outputs
Outputs from BMC Medical Informatics and Decision Making
#122
of 2,128 outputs
Outputs of similar age
#20,681
of 295,057 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 41 outputs
Altmetric has tracked 25,081,419 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,128 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 94% 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 295,057 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 92% 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 78% of its contemporaries.