| Title |
Development of a Metabolic Biosignature for Detection of Early Lyme Disease
|
|---|---|
| Published in |
Clinical Infectious Diseases, March 2015
|
| DOI | 10.1093/cid/civ185 |
| Pubmed ID | |
| Authors |
Claudia R. Molins, Laura V. Ashton, Gary P. Wormser, Ann M. Hess, Mark J. Delorey, Sebabrata Mahapatra, Martin E. Schriefer, John T. Belisle |
X Demographics
The data shown below were collected from the profiles of 37 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 | 15 | 41% |
| Netherlands | 4 | 11% |
| Australia | 2 | 5% |
| Austria | 1 | 3% |
| United Kingdom | 1 | 3% |
| Poland | 1 | 3% |
| Japan | 1 | 3% |
| Unknown | 12 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 73% |
| Practitioners (doctors, other healthcare professionals) | 5 | 14% |
| Scientists | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Belgium | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 111 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 25% |
| Student > Ph. D. Student | 14 | 12% |
| Student > Bachelor | 12 | 11% |
| Student > Doctoral Student | 9 | 8% |
| Student > Master | 8 | 7% |
| Other | 23 | 20% |
| Unknown | 19 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 25% |
| Agricultural and Biological Sciences | 17 | 15% |
| Biochemistry, Genetics and Molecular Biology | 13 | 11% |
| Chemistry | 9 | 8% |
| Immunology and Microbiology | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 23 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 11 July 2018.
All research outputs
#573,267
of 26,017,215 outputs
Outputs from Clinical Infectious Diseases
#1,070
of 17,023 outputs
Outputs of similar age
#6,790
of 278,386 outputs
Outputs of similar age from Clinical Infectious Diseases
#13
of 205 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one has done particularly well, scoring higher than 93% 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 278,386 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 97% of its contemporaries.
We're also able to compare this research output to 205 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 93% of its contemporaries.