| Title |
ask MEDLINE: a free-text, natural language query tool for MEDLINE/PubMed
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2005
|
| DOI | 10.1186/1472-6947-5-5 |
| Pubmed ID | |
| Authors |
Paul Fontelo, Fang Liu, Michael Ackerman |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| Spain | 2 | 3% |
| India | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 57 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Master | 12 | 18% |
| Student > Ph. D. Student | 10 | 15% |
| Other | 7 | 11% |
| Librarian | 5 | 8% |
| Other | 12 | 18% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 35% |
| Medicine and Dentistry | 16 | 25% |
| Agricultural and Biological Sciences | 9 | 14% |
| Nursing and Health Professions | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 6 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 September 2022.
All research outputs
#18,248,538
of 23,435,471 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,531
of 2,020 outputs
Outputs of similar age
#56,806
of 60,185 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 3 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,020 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 60,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
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.