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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Architecture and usability of OntoKeeper, an ontology evaluation tool
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2019
|
| DOI | 10.1186/s12911-019-0859-z |
| Pubmed ID | |
| Authors |
Muhammad Amith, Frank Manion, Chen Liang, Marcelline Harris, Dennis Wang, Yongqun He, Cui Tao |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 17% |
| Student > Master | 6 | 13% |
| Professor | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 33% |
| Medicine and Dentistry | 5 | 11% |
| Agricultural and Biological Sciences | 4 | 9% |
| Business, Management and Accounting | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 March 2020.
All research outputs
#14,458,287
of 23,166,665 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,120
of 2,016 outputs
Outputs of similar age
#189,180
of 345,037 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#33
of 45 outputs
Altmetric has tracked 23,166,665 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 345,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.