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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, August 2022
|
| DOI | 10.3389/fmolb.2022.916128 |
| Pubmed ID | |
| Authors |
Rasmus Magnusson, Olof Rundquist, Min Jung Kim, Sandra Hellberg, Chan Hyun Na, Mikael Benson, David Gomez-Cabrero, Ingrid Kockum, Jesper N. Tegnér, Fredrik Piehl, Maja Jagodic, Johan Mellergård, Claudio Altafini, Jan Ernerudh, Maria C. Jenmalm, Colm E. Nestor, Min-Sik Kim, Mika Gustafsson |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Other | 3 | 18% |
| Researcher | 2 | 12% |
| Student > Master | 2 | 12% |
| Professor | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 29% |
| Neuroscience | 2 | 12% |
| Agricultural and Biological Sciences | 2 | 12% |
| Medicine and Dentistry | 2 | 12% |
| Nursing and Health Professions | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 September 2022.
All research outputs
#7,630,310
of 23,390,392 outputs
Outputs from Frontiers in Molecular Biosciences
#748
of 4,039 outputs
Outputs of similar age
#142,284
of 433,562 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#57
of 405 outputs
Altmetric has tracked 23,390,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,039 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 81% 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 433,562 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 66% of its contemporaries.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.