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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Local data commons: the sleeping beauty in the community of data commons
|
|---|---|
| Published in |
BMC Bioinformatics, September 2022
|
| DOI | 10.1186/s12859-022-04922-5 |
| Pubmed ID | |
| Authors |
Jong Cheol Jeong, Isaac Hands, Jill M. Kolesar, Mahadev Rao, Bront Davis, York Dobyns, Joseph Hurt-Mueller, Justin Levens, Jenny Gregory, John Williams, Lisa Witt, Eun Mi Kim, Carlee Burton, Amir A. Elbiheary, Mingguang Chang, Eric B. Durbin |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| Austria | 1 | 11% |
| India | 1 | 11% |
| Sweden | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 44% |
| Members of the public | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Unspecified | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Researcher | 2 | 10% |
| Other | 4 | 19% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 10% |
| Unspecified | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 9 | 43% |
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 30 September 2022.
All research outputs
#8,182,502
of 24,527,858 outputs
Outputs from BMC Bioinformatics
#3,140
of 7,550 outputs
Outputs of similar age
#150,298
of 426,097 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 136 outputs
Altmetric has tracked 24,527,858 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 426,097 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 62% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.