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Mendeley readers
Attention Score in Context
| Title |
SLIM: an alternative Web interface for MEDLINE/PubMed searches – a preliminary study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2005
|
| DOI | 10.1186/1472-6947-5-37 |
| Pubmed ID | |
| Authors |
Michael Muin, Paul Fontelo, Fang Liu, Michael Ackerman |
| Abstract |
With the rapid growth of medical information and the pervasiveness of the Internet, online search and retrieval systems have become indispensable tools in medicine. The progress of Web technologies can provide expert searching capabilities to non-expert information seekers. The objective of the project is to create an alternative search interface for MEDLINE/PubMed searches using JavaScript slider bars. SLIM, or Slider Interface for MEDLINE/PubMed searches, was developed with PHP and JavaScript. Interactive slider bars in the search form controlled search parameters such as limits, filters and MeSH terminologies. Connections to PubMed were done using the Entrez Programming Utilities (E-Utilities). Custom scripts were created to mimic the automatic term mapping process of Entrez. Page generation times for both local and remote connections were recorded. |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 4 | 8% |
| United States | 2 | 4% |
| United Kingdom | 2 | 4% |
| Spain | 2 | 4% |
| Portugal | 1 | 2% |
| France | 1 | 2% |
| Unknown | 39 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 25% |
| Student > Master | 9 | 18% |
| Other | 6 | 12% |
| Professor | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Other | 10 | 20% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 27% |
| Medicine and Dentistry | 11 | 22% |
| Agricultural and Biological Sciences | 8 | 16% |
| Nursing and Health Professions | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 8 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 03 December 2005.
All research outputs
#5,604,037
of 22,707,247 outputs
Outputs from BMC Medical Informatics and Decision Making
#490
of 1,981 outputs
Outputs of similar age
#27,868
of 146,271 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 3 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,981 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 146,271 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them