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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Collaborative development of the Arrowsmith two node search interface designed for laboratory investigators
|
|---|---|
| Published in |
Journal of Biomedical Discovery and Collaboration, July 2006
|
| DOI | 10.1186/1747-5333-1-8 |
| Pubmed ID | |
| Authors |
Neil R Smalheiser, Vetle I Torvik, Amanda Bischoff-Grethe, Lauren B Burhans, Michael Gabriel, Ramin Homayouni, Alireza Kashef, Maryann E Martone, Guy A Perkins, Diana L Price, Andrew C Talk, Ruth West |
| Abstract |
Arrowsmith is a unique computer-assisted strategy designed to assist investigators in detecting biologically-relevant connections between two disparate sets of articles in Medline. This paper describes how an inter-institutional consortium of neuroscientists used the UIC Arrowsmith web interface http://arrowsmith.psych.uic.edu in their daily work and guided the development, refinement and expansion of the system into a suite of tools intended for use by the wider scientific community. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| United Kingdom | 2 | 5% |
| Spain | 2 | 5% |
| Turkey | 1 | 2% |
| Slovenia | 1 | 2% |
| Unknown | 33 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 22% |
| Other | 6 | 15% |
| Student > Ph. D. Student | 5 | 12% |
| Professor > Associate Professor | 5 | 12% |
| Student > Bachelor | 4 | 10% |
| Other | 10 | 24% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 37% |
| Agricultural and Biological Sciences | 6 | 15% |
| Arts and Humanities | 3 | 7% |
| Linguistics | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 11 | 27% |
| Unknown | 2 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 January 2021.
All research outputs
#7,355,005
of 25,371,288 outputs
Outputs from Journal of Biomedical Discovery and Collaboration
#6
of 14 outputs
Outputs of similar age
#27,114
of 88,460 outputs
Outputs of similar age from Journal of Biomedical Discovery and Collaboration
#2
of 2 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 14 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one scored the same or higher as 8 of them.
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 88,460 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.