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X Demographics
Mendeley readers
Attention Score in Context
| Title |
e-MIR2: a public online inventory of medical informatics resources
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2012
|
| DOI | 10.1186/1472-6947-12-82 |
| Pubmed ID | |
| Authors |
Guillermo de la Calle, Miguel García-Remesal, Nelida Nkumu-Mbomio, Casimir Kulikowski, Victor Maojo |
| Abstract |
Over the past years, the number of available informatics resources in medicine has grown exponentially. While specific inventories of such resources have already begun to be developed for Bioinformatics (BI), comparable inventories are as yet not available for the Medical Informatics (MI) field, so that locating and accessing them currently remains a difficult and time-consuming task. |
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 % |
|---|---|---|
| United States | 1 | 25% |
| India | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 36% |
| Student > Master | 5 | 18% |
| Student > Ph. D. Student | 4 | 14% |
| Lecturer | 2 | 7% |
| Student > Doctoral Student | 1 | 4% |
| Other | 5 | 18% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 36% |
| Computer Science | 8 | 29% |
| Agricultural and Biological Sciences | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 August 2012.
All research outputs
#13,018,325
of 22,673,450 outputs
Outputs from BMC Medical Informatics and Decision Making
#914
of 1,978 outputs
Outputs of similar age
#88,593
of 164,813 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#32
of 53 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% 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 164,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.