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X Demographics
Mendeley readers
Attention Score in Context
| Title |
mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2021
|
| DOI | 10.1186/s12967-021-03127-3 |
| Pubmed ID | |
| Authors |
Ravi Mathur, Megan U. Carnes, Alexander Harding, Amy Moore, Ian Thomas, Alex Giarrocco, Michael Long, Marcia Underwood, Christopher Townsend, Roman Ruiz-Esparza, Quinn Barnette, Linda Morris Brown, Matthew Schu |
X Demographics
The data shown below were collected from the profiles of 36 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 | 8 | 22% |
| United Kingdom | 4 | 11% |
| Spain | 1 | 3% |
| Ireland | 1 | 3% |
| Georgia | 1 | 3% |
| Sweden | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Germany | 1 | 3% |
| Belgium | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 17 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 81% |
| Practitioners (doctors, other healthcare professionals) | 5 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 16% |
| Other | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 4 | 21% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 11% |
| Chemical Engineering | 1 | 5% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Other | 4 | 21% |
| Unknown | 9 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 20 August 2022.
All research outputs
#1,292,761
of 25,746,891 outputs
Outputs from Journal of Translational Medicine
#246
of 4,709 outputs
Outputs of similar age
#29,796
of 445,336 outputs
Outputs of similar age from Journal of Translational Medicine
#4
of 79 outputs
Altmetric has tracked 25,746,891 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,709 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 94% 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 445,336 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.